Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

The student will be involved in the culturing and genetic engineering of filamentous fungal organisms. This will involve designing experiments and using modern cloning and transformation techniques. The student will then work on characterizing the modified organisms they create to see if there are functional changes due to the genetic modifications.

Research Opportunity Skill Set:

Excitement and interest in genetics and genetic manipulation. No lab skills are required, students will be taught all laboratory practices.

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

Computer science has often borrowed different things from neuroscience to use as a blueprint for artificial systems. For example, convolutional neural networks (CNNs) are used for tasks like image classification, feature recognition, and object identification. However, the brain uses many other systems to interact with the world that can serve as foundations for new machine learning algorithms. This project will explore different brain systems and how these systems can be used to develop new, energy-efficient, adaptable algorithms. Potential research questions include: How can different neuroscience research be used as inspiration for new intelligent systems? What and how can technology benefit from different brain-inspired systems?

Research Opportunity Skill Set:

Programming basics required. Additional consideration is given to those with psychology, neuroscience, or computer science experience.

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

Most problems benefit from teamwork. Different mindsets, approaches, experiences, and strengths enable teams to accomplish large goals that would be impossible for a single individual to accomplish alone. As technology continues to advance, more and more teams will include both humans and AI agents. This project looks at how to integrate humans and machines to create hybrid teams that surpass what humans can accomplish alone. A few potential research questions include: What new forms of thinking emerge from combining human collectives with technology in novel ways? How might we accelerate the process of collection with novel frameworks, systems, and technological integration?

Research Opportunity Skill Set:

Basic programming is required. Additional consideration will be given to applicants with experience in psychology, neuroscience, teaming, and/or computer science.

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

Convergent Manufacturing (CM) is the term used to describe fabrication of multifunctional devices and structures and can incorporate any number of manufacturing technologies and materials to fabricate these products. CM is expected to revolutionize the design, fabrication and application of electronic packaging and antenna structures. An objective of this project to establish process-material-design relationships for convergent manufacturing of conformal electronics embedded into 3D printed structures. The researcher will: develop feedstock materials, including conductors, dielectrics, and insulators; develop manufacturing processes, such as aerosol deposition, inkjet printing, SLA, FFF, injection molding, ultrasonic welding, robotic milling and drilling, and plasma modification; develop manufacturing parameters to prepare the materials/parts.

Research Opportunity Skill Set:

CAD, AI programing, Python coding, eCAD, CAD/CAM, Robotics

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

This project involves the design and investigation of the mechanical, electrical, biomagnetic, and functional properties of various materials and model tools that will be used for neuroscientific study of tissues such as brain, bone, or skin. The topic contains a broad range of sub-tasks throughout areas of neuroscience, biomedical engineering, materials science, and biochemistry. Example duties may include construction and characterization of materials simulating tissue; investigation of various materials and techniques for appropriateness; design and developing physical models and/or techniques for constructing physical models; use of CAD for model development; or use of additive manufacturing for molds, models, or components. Tasks can range from theoretical development to practical application. A niche can be carved out based on knowledge and interest.

Research Opportunity Skill Set:

Any of the following:
  –  Biochemistry lab methods
  –  Materials manufacturing processes
  –  CAD design
  –  Neuroscience research methods
  –  Additive manufacturing processes
  –  Time series data analysis

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

Theory of Mind (ToM) is the capability of an individual to infer the internal mental states (goals, intentions, strategies, desires) of others. It is considered the holy grail of artificial intelligence research, as systems with such capabilities enhanced with computational processing capabilities will have consequences in areas like human-agent teaming, socially-assistive systems, game theory, and wargaming. We still have a long way to go before machines attain such a capability which may be the result of a lack of computational resources; after all, human ToM arose after billions of years of evolution. However, we also theorize that potential ToM systems require diverse training, to the extent of even requiring open-ended learning to allow systems to experiment. Several studies have shown promising results with single agents in static environments, but we aim to expand to multi-agent, dynamic environments to test and facilitate development of a computational ToM system. In this project, we have a few problems we would like to address:
+ Data: Open-source data illustrating agent intention in a closed environment is lacking. One goal is to create a method for procedurally generating (synthetic) data for training and testing ToM and other cognitive systems. We hypothesize that multimodal data will be the key in facilitating model understanding between, for example, what is being said by, or described about, the agent, and what is being done.
+ ToM Metrics: How do we ""measure"" ToM? A classic evaluation of ToM capabilities is the Sally-Anne Test and while studies have designed their own versions of the Sally-Anne test, we hypothesize that ToM is a process not tied to performing any one task is particular; it also requires adaptability in learning and understanding. Research in child development proposes several stages to ToM development each of which may help yield tests or a battery of tests for measuring ToM capabilities. Other research proposes the use of natural language to gauge a model's understanding. 
+ Model: How do we build on recent studies developing ToM models? Is it possible to define a reinforcement learning model for ToM the partakes in open-ended learning? Currently, our best approaches involve using state-of-the-art transformer technologies to train on multimodal datasets, so we inspect such developments to inform our own design choices. 
+ Mathematical formalization: The concepts for ToM arose from studies in cognitive science and psychology, however we would like to attempt to research literature in mathematical cognitive science/psychology/neuroscience to break the problem down in the language of sets/functions, which may facilitate algorithm development.

Research Opportunity Skill Set:

+ Strongly desired: Python
+ Desired, but not required:
  –  Software development
  –  Data science
  –  Machine learning / AI
  –  E10Experimental design

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

Cemented tungsten carbide (WC) is an ideal material for cutting tool applications due to its high hardness and wear resistance. The material is comprised of hard WC grains cemented together by a matrix cobalt (Co) phase. The bulk material properties are controlled by aspects of the microstructure, such as the WC grains size/distribution and Co content. This project aims to develop advanced powder processing approaches to engineer complex cemented microstructures. The mechanical properties of these samples will be characterized to develop relationships between the cemented microstructure and bulk material properties relevant to the applications of interest.

Research Opportunity Skill Set:

Powder Process, Thermal Processing, Ceramic Processing, Mechanical Characterization

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

Opportunities exist for foundational and early applied research and development (R&D) efforts towards enabling the next generation ceramics and ceramic composites for Army systems. Research activities include: 1) novel synthesis and processing techniques for opaque and transparent ceramics and composites with optimal structure/properties for extreme environments and high-rate impact, 2) advanced manufacturing science for development of heterogeneous multi-scale ceramics and interfaces with high fracture and failure tolerance, 3) high-throughput simulation, machine learning and design optimization for processing-structure-property relationships, and 4) high-throughput non-destructive evaluation and characterization for materials discovery.

Research Opportunity Skill Set:

Preferred attributes include a strong knowledge of ceramic engineering principles and analytical and mechanical characterization techniques. Specialized expertise also desired in areas of ceramic synthesis methods, inorganic chemistry, colloidal particle suspension dispersion and rheology, advanced microscopy and spectroscopy techniques, high-rate mechanisms, advanced manufacturing, process control and modeling, and AI/ML techniques.

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

AI is a quickly evolving tool, that when used properly, can assist both soldiers and civilians alike. But, AI is not yet able to adapt as efficiently or as effectively as humans. We (humans) are highly adaptable and can adjust to a wide variety of situations quickly and without any additional training. On the other hand, current AI systems need large amounts of situation-specific training to become effective and useful, and when the situation changes, it can completely confuse the system. This project will look at the creation and modification of human-guided adaptation approaches; a method that uses the human to inject adaptability into intelligent systems, reducing training time, cost, and errors. A few potential research questions include: How can humans intuitively adapt intelligent systems for new uses, environments, and situations? How can intelligent systems take in and use human feedback and experience?

Research Opportunity Skill Set:

Programming skills are required. Additional consideration will be given to applicants with experience with psychology, data processing, machine learning, and systems engineering.

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

As part of this research effort, the selected candidate will work within a highly interdisciplinary team of scientists at DEVCOM ARL, university collaborators, and Department of Energy Laboratory counterparts to apply one or more molecular to mesoscale level computational methodologies spanning from density functional theory (DFT), molecular dynamics (MD) simulations of bulk battery electrolytes and electrochemical interfaces and complex/composite interphases.

Research Opportunity Skill Set:

Experience with Python, knowledge of electrochemistry and battery operation, and knowledge of one of the molecular modeling codes (VASP, gaussian, psi4, LAMMPS, etc.).

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

New ultra-wide and wide bandgap (U/WBG) semiconductor materials are important to making advances in power and RF electronics, as well as ultraviolet (UV) optoelectronics. This project applies laser spectroscopy techniques, including photoluminescence and time-correlated single photon counting, to understand electron-hole dynamics in these new materials. This understanding is used to provide feedback to team members so they can grow better materials and design improved devices, including transistors, light-emitting diodes (LEDs), and lasers.

Research Opportunity Skill Set:

Comfortable working with lasers; Excited to leaf through the Thorlabs catalog; Experience with software for data analysis and plotting.

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

DEVCOM Army Research Lab (ARL) is seeking dedicated researchers, engineers, and technologists with an interest in developing or implementing visual perception models to extract relevant visual information from a scene. These models are aimed to support the decision-making of an autonomous system or human agent to help them better or more rapidly understand their surrounding environment. Decision-making may require understanding the surrounding environment using a combination of low, mid, or high-level visual concepts.

Research Opportunity Skill Set:

Computer vision; machine learning, ROS, python, C++/C#, Matlab, Unity/Unreal (or related game engine), or Linux

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

The objective goal is to develop a neural network(s) to take electromagnetic simulation run parameters (I/O variables) to predict the inputs needed for desired outputs. This machine learning neural network source code will be created, trained & run successfully predictively this summer.

Research Opportunity Skill Set:

Python, AI/ML, EM simulation.

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

Assist in the development of quantum systems for sensing and quantum information applications. Such systems leverage the unique effects of quantum mechanics to enhance the detection of electromagnetic fields, gravity, and time or perform optimized computational operations. Work in this area spans a wide range of technical skills and disciplines and will focus on developing critical component technologies including lasers and optical apparatuses, electronics, material growth, or experimental automation and control.

Research Opportunity Skill Set:

Python programming, Electronics (hardware or software interface), Optical alignment, embedded system programming.

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

Semiconductor power switches, used to control and regulate power supplies to electronic devices, electromechanical equipment, and lighting, will find increasingly broad application in such diverse fields as telecommunications, energy storage, renewable energy, and electric vehicles. Ultrawide bandgap (UWBG) materials are attractive candidates for power switches due to their high breakdown fields and low on-resistance. We investigate the design, epitaxial growth, fabrication, and testing of UWBG AlGaN-based lateral power switches.

Research Opportunity Skill Set:

Proficiency with data analysis software (e.g. MS Excel, MATLAB, Origin, etc.); experience with electronic test equipment; proficiency with MS Office (Excel, PowerPoint, Word).

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

Biological and Biotechnology Sciences division seeks summer researchers to work on a fungal microbiology project. This project will entail culturing and characterizing an environmental fungal microorganism, performing ultra-high molecular weight genomic DNA extractions and long-read sequencing, and isolating and characterizing proteins/enzymes from the fungal organism. Previous laboratory experience in a microbiology/molecular biology lab is preferred but not required.

Research Opportunity Skill Set:

Aseptic technique, detail-oriented, general microbiology lab skills, general molecular biology skills.

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

The Additive Manufacturing team within the Electromagnetic Effects Branch works to incorporate new materials with micrometer scale and nanometer scale 3D-printing process with microelectronics chips, interconnects, and packaging to enable novel, conformal, printed-circuit-board-like integration into non-planar form factors. The project will involve tasks related to one or more of the following, subject to candidate skills, interests, and experience: solid modeling, 3D printing, testing related to novel convergent manufacturing and additive manufacturing methods, low-SWaP sensor systems, data analysis, user interfaces, data analysis, and/or artificial intelligence/machine learning techniques for 3D printing part design.

Research Opportunity Skill Set:

Good technical communication, data analysis, and presentation (using Matlab, Python, and/or Microsoft Excel).

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

The atmosphere affects all propagating signals, such as acoustic, electro-optic, and electromagnetic. This research will focus on atmospheric remote sensing: data collection, preparation, and analysis. Of particular interest is identifying atmospheric/environmental phenomena in urban, littoral, and other complex environments, developing methodologies to analyze and characterize phenomena (e.g., vortex shedding, ducting), developing methodologies to identify and remove dynamic clutter for autonomous sensing, and analyzing environmental impacts on signatures (EO, EM/RF and acoustic). Research may include operating remote sensing equipment, analyzing data, and writing data analysis and/or control software. Codes utilize Matlab, but Python, C, and C++ may also be available for those interested. Remote sensing equipment includes Doppler wind lidars, radars, and acoustic sensors.

Research Opportunity Skill Set:

Required skills vary by program. All programs require basic knowledge of physics (waves at a minimum), meteorology, or signal processing; software coding (Matlab minimum); and the ability to perform literature searches and reviews. For advanced programs, mathematical and/or computational methods are required and knowledge of AI/ML, coupled differential equations, or remote sensing is advantageous.

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

By leveraging signal processing and machine-learning algorithms, the hired candidate will help develop autonomous sensor systems that can analyze moving targets. The goal is to analyze extensive sensor datasets to extract knowledge from large geographic areas.

Research Opportunity Skill Set:

Programming, Circuit Design, Materials Science, Linear Algebra.

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

This summer research project focuses on developing meta-optic components for integration into photonic circuits. Participants will utilize various optical materials and advanced numerical modeling techniques to investigate the unique capabilities of meta-optics in manipulating light at subwavelength scales, with the ultimate goal of enhancing the performance and functionality of photonic integrated circuits.

Research Opportunity Skill Set:

Preferred hands-on experience includes numerical simulation tools like COMSOL and data acquisition using Python or MATLAB.

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

Semiconductor power switches, used to control and regulate power supplies to electronic devices, electromechanical equipment, and lighting, will find increasingly broad applications in such diverse fields as telecommunications, energy storage, renewable energy, and electric vehicles. Ultrawide bandgap (UWBG) materials are attractive candidates for power switches due to their high breakdown fields and low on-resistance. We investigate the design, epitaxial growth, device fabrication, and testing of UWBG AlGaN-based lateral power switches. Interested students of electrical engineering, materials science, physics, or chemistry are encouraged to apply to this announcement.

Research Opportunity Skill Set:

Programming

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

Atomic layer deposition of high-quality thin films of the electronic device material AlN is not well developed yet. Several systematic AlN ALD experimental runs will be conducted, and the resulting thin films will be characterized in terms of thickness uniformity, surface roughness, and crystallinity for piezoelectric, optoelectronic, and dielectic applications in densely integrated chips.

Research Opportunity Skill Set:

ALD, ellipsometry, AFM, XRD

Research Opportunity Location:

Chicago, IL

Research Opportunity Description:

The Summer Participant will focus on making direct emissivity measurements of various refractory materials at high temperatures. Emissivity, which varies with material type, temperature, and surface morphology, will be measured to help in the system design of a thermo-photovoltaic power source, where accurate data is essential to understanding energy conversion.

Research Opportunity Skill Set:

Candidate should be interested in learning or is already comfortable working around experimental equipment involving optics and handling high-temperature environments safely. They should have experience or a strong interest in wiring up sensors and integrating them into a data acquisition system. Finally, it would be great if the student was eager to learn how to process the collected data and develop the necessary skills to analyze the data.

Research Opportunity Location:

Los Angeles, CA

Research Opportunity Description:

Technologies like Virtual Reality and Augmented Reality (collectively XR) create new opportunities to help people understand complex, quickly changing, and highly uncertain information. Research under this project will help us understand how to effectively and efficiently portray information to people and groups to support fast, accurate decision-making, creativity, and adaptability.
Specific topics might include:
- Dynamic filtering, contextual zoom, and information summarization for individual and group awareness
- Uncertainty portrayal and expression
- Interacting with new kinds of information
- Human/Autonomy Interaction in XR

Research Opportunity Skill Set:

Technical skills that might be useful: Unity, C#, JavaScript, Python; experimental design, human subjects research, data analysis, probability, statistics, and scientific writing.

Research Opportunity Location:

Austin, TX

Research Opportunity Description:

We are seeking a motivated student to join our team for research in strain engineering, which focuses on modifying microorganisms to enhance their capabilities in producing valuable chemicals, improving stress resilience, or optimizing metabolic pathways. In this role, you will have the opportunity to work with cutting-edge genetic engineering techniques, including modifying gene expression, creating mutant strains, and evaluating their performance under different conditions. You’ll collaborate with experienced researchers to design, test, and refine microbial strains to achieve specific, innovative outcomes.

Research Opportunity Skill Set:

We welcome applicants with an interest or any experience in the following areas:
  –  Biology
  –  Genetics
  –  Synthetic Biology
  –  Microbiology
  –  Metabolic Pathways
  –  Bioengineering
If you’re excited about any of these topics, we encourage you to apply!

Research Opportunity Location:

Austin, TX

Research Opportunity Description:

We seek a driven student to join our team in a computational biology project focused on writing scripts to automate data workflows and streamline experimental planning. You will help develop and implement scripts that bridge input and output formats for robotic systems and create complex data analysis pipelines. This role will also involve designing automation tools for experimental planning and integrating FAIR (Findable, Accessible, Interoperable, Reusable) data principles into the design-build-test-learn cycle. You will collaborate with scientists to ensure data flows seamlessly across different platforms, contributing to more efficient and reproducible research.

Research Opportunity Skill Set:

We welcome applicants with an interest or background in:
  –  Computational Biology
  –  Programming
  –  Computer Science
  –  Bioinformatics
  –  Scripting Languages (e.g., Python, R)
  –  Data Analysis and Integration
  –  Robotics and Automation
  –  Experimental Design
If you have experience in any of these areas or are eager to learn, we encourage you to apply!

Research Opportunity Location:

Austin, TX

Research Opportunity Description:

We seek a chemistry student to join our team in a research project focused on chemical identification and strain characterization using advanced analytical techniques. In this role, you will work with mass spectrometry (MS) and high-performance liquid chromatography (HPLC) to analyze and identify chemical compounds produced by engineered strains. This project will give you hands-on experience in sample preparation, operation of MS and HPLC systems, and data analysis to characterize metabolites, proteins, or other biomolecules. You will collaborate with researchers to uncover the chemical profiles of different strains, contributing to breakthroughs in biotechnology and synthetic biology.

Research Opportunity Skill Set:

We welcome applicants with an interest or background in:
  –  Analytical Chemistry
  –  Mass Spectrometry (MS)
  –  High-Performance Liquid Chromatography (HPLC)
  –  Metabolomics
  –  Chemical Identification
  –  Strain Characterization
If you're excited about chemical analysis and strain characterization, we encourage you to apply!

Research Opportunity Location:

Austin, TX

Research Opportunity Description:

We seek a detail-oriented student to join our team in a research project focused on laboratory automation, where you’ll work with advanced robotic systems to streamline and optimize experimental workflows. This project uses state-of-the-art automation platforms such as the Tecan Fluent, Echo robot, Mantis robot, and Integra Assist Plus to perform tasks like high-throughput screening, liquid handling, and assay setup with precision and efficiency. You’ll gain valuable experience in programming and operating these automated systems to accelerate data collection and improve experimental reproducibility, working closely with researchers to develop cutting-edge solutions in a variety of scientific fields.

Research Opportunity Skill Set:

We welcome applicants with an interest or background in:
  –  Automation and Robotics
  –  Biology or Chemistry Laboratory Techniques
  –  High-Throughput Screening
  –  Bioinformatics or Data Analysis
  –  Instrumentation and Engineering
If you're excited about laboratory automation and have any experience in these areas, or are eager to learn, we encourage you to apply!

Research Opportunity Location:

Austin, TX

Research Opportunity Description:

We are looking for motivated students to join a unique project where teams will compete to stress-test strain development using innovative new pipelines. This project is designed to simulate real-world challenges in strain engineering, pushing newly developed microbial strains to their limits under various conditions. You will work in a collaborative, yet competitive, environment, designing experiments, troubleshooting strain performance, and utilizing advanced pipelines for testing. Throughout the project, you will analyze data to assess which team’s approach yields the most robust and efficient strains, gaining valuable experience in experimental design, strain optimization, and teamwork.

Research Opportunity Skill Set:

We welcome applicants with an interest or background in:
  –  Microbiology
  –  Synthetic Biology
  –  Strain Engineering
  –  Experimental Design
  –  Data Analysis
  –  Problem-Solving
  –  Team work
If you're excited about hands-on, competitive research and want to be part of a dynamic team, we encourage you to apply!

Research Opportunity Location:

White Sands, NM

Research Opportunity Description:

These efforts which feed a cross-echelon situational awareness for command and control decisions. This effort includes research on dynamics and changes in the atmospheric boundary layer in complex Multi-Domain Operations (MDO) environments and conditions (complex terrain/ dense urban and unique or dynamic regions of atmospheric change) with particular emphasis on the atmospheric surface layer and the land- surface processes, which inform Windows of X (mitigating vulnerability, exploiting opportunity, etc.) in planning and operations. The effort will also investigate atmospheric effects on multi-modal sensing for detection, localization and tracking to improve accuracy of aided target recognition for air and ground defense in an increasingly uncertain and rapidly changing threat environment.
This effort applies foundational research on atmospheric impacts and effects on DoD systems and operations. The research will employ experimental data collection and model development of impact on key systems in achieving freedom of maneuver and lethality overmatch. Focusing research on atmospheric characterization and modeling of complex atmospheric conditions in challenging terrain provides prediction and correction information for developing Army systems for kinetic and non-kinetic collaborative protection, protection and exploitation of electromagnetic spectrum for tactical advantage (to include renewable energy), detection and characterization of threat and toxic industrial aerosol, resilient and robust sensing and counter-sensing for UAVs, and models for UAV flight dynamics and high-speed flight systems operating under extreme conditions.

Research Opportunity Skill Set:

Technology and/or Data Driven mindset - would like programming. CS - Networks, Databases, AI/ML, programming.

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

The U.S. DEVCOM Army Research Laboratory (ARL) is pleased to announce an exciting opportunity for a summer internship with a focus on microsystems, ferroelectrics, 2.5D integration and MEMS. Responsibilities will include circuit design, chip to chip bonding, and testing. The successful candidate will primarily be stationed in Adelphi, Maryland. Key Responsibilities include: conducting innovative research in the design, fabrication, and testing of microsystems, sensors, and MEMS technologies, and present research findings to ARL scientists.

Research Opportunity Skill Set:

  –  Effective communication skills, both written and verbal.
  –  Ability to work in a team and collaborate with researchers from diverse backgrounds.
  –  Experience with basic circuitry and breadboarding, and SPICE tools.
  –  Experience with COMSOL
  –  Experience with ferroelectrics and or MEMS devices.

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

ARL is seeking students and/or faculty with background in computational modeling, artificial intelligence, machine learning, and analysis. Research opportunities are available to create algorithms and methodologies that enable efficient computational models for recommendations and informed decisions by capturing individual characteristics of users, tasks, and context including domain knowledge and situational awareness, agents’ behavior, and decision outcomes. Research will ultimately allow the generation and the deployment of intelligent information systems that incorporates multiple levels and approaches for reasoning. Research requires experience and interest in interactive visual systems, artificial intelligence, machine learning, reasoning, and analysis of data from various modalities.

Research Opportunity Skill Set:

Programming, Analysis (experience levels flexible)

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

Alongside DEVCOM ARL researchers, the applicant will develop and deploy Artificial Intelligence (AI) algorithms and applications, and analyze their effectiveness in resource constrained, dynamic environments. Intelligence, Surveillance, and Reconnaissance (ISR) applications largely depend on AI models to effectively deliver analysis from data gathered at sensor devices. Like traditional computer applications, these models behave poorly when resources are limited through environment constraints and dynamics. We are focused on developing and validating solutions that enable robust, quality, high performance ISR in constrained, dynamic environments. This effort has several areas of opportunity where the applicant can contribute. Specifically, the applicant can learn and contribute in one or more of the following areas: AI model and algorithm development, data pipelining, distributed processing, and data visualization. Applicants can expect to join a welcoming team environment centered around active learning, discovery, and delivery of concepts and ideas in rapid prototypes.

Research Opportunity Skill Set:

Software Development, Data Analysis

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

This project offers a hands-on approach to studying materials for infrared laser sources. By investigating the optical properties of solid-state materials, students will gain insights into how these materials can serve as gain media for lasers. The project will introduce spectroscopic methods to characterize material properties, helping students understand how light interacts with different materials. This research is fundamental to advancing the next generation of laser technologies, with applications ranging from environmental monitoring and sensing to medical diagnostics.

Research Opportunity Skill Set:

Basic Laboratory skills

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

This project focuses on advancing techniques in synthetic data generation using generative AI, specifically targeted at computer vision and perception applications. The intern will be responsible for developing and optimizing algorithms to generate synthetic image datasets that closely mimic real-world data, maintaining high diversity and quality. They will explore various generative models and data augmentation techniques to create datasets suitable for training and evaluating machine learning models, especially in scenarios with limited or sensitive visual data. The project will investigate how these synthetic datasets can improve the robustness, generalization, and performance of visual perception models across various domains.

Research Opportunity Skill Set:

  –  Strong programming skills in Python or relevant languages.
  –  Experience with up-to-date machine learning frameworks (e.g., PyTorch).
  –  Familiarity with generative models (e.g., Diffusion).
  –  Knowledge of synthetic data generation techniques and data augmentation strategies.
  –  Experience in computer vision tasks (e.g., detection, segmentation).

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

This research aims to develop innovative approaches for accelerating generalized AI model inference on resource-constrained heterogeneous edge computing platforms. The project seeks to achieve this goal by developing theoretical models that understand the trade-offs between accuracy, latency, and compression of optimized AI models, as well as investigating state-of-the-art model optimization approaches such as quantization, and model pruning to reduce computational complexity and to accelerate the inference. Additionally, the research will formulate mathematical foundations to guide optimization processes and ensure convergence to optimal solutions while satisfying constraints. This work covers both convolutional neural networks and large language models and aims to predict optimal AI model architecture through neural network architecture search (NAS) for inference acceleration.

Research Opportunity Skill Set:

Understanding of machine leaning and artificial intelligence and some experience/familiarity with PyTorch and TensorFlow for programming AI models.

Research Opportunity Location:

Los Angeles, CA

Research Opportunity Description:

Interns will work with DEVCOM ARL scientists to expand the capabilities of the Neuron Place and Route (NPR) tool, developed by DEVCOM ARL, which is used to map deep neural networks (DNNs) to the DEVCOM ARL-developed Field Programmable Neural Array (FPNA) chip. This intern will work on developing a graphical user interface (GUI) for the tool, as well as adding additional features.

Research Opportunity Skill Set:

GUI development in Python, Proficiency in Python coding, 3.0 GPA or better

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

Summer researchers will have the opportunity to investigate R&D of artificial intelligence and machine learning (AI/ML) methods to be applied to problems for energetic materials (explosives and propellants).

Research Opportunity Skill Set:

Python programming experience and general familiarity with organic chemistry would be ideal, but not required.

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

This project will utilize machine learning algorithms to characterize the damage state of fuel pumps from vibration data. High-frequency acoustic sensors can detect vibrations from a damaged component. These vibration signals can act as a 'fingerprint' to help identify the damage state of the fuel pumps, however interpretation of the signals is difficult due to their complexity. The student will utilize machine learning and other advanced algorithms to reliably characterize vibration data.

Research Opportunity Skill Set:

Intermediate programming skills. Experience with either MATLAB and/or Python.

Research Opportunity Location:

White Sands, NM

Research Opportunity Description:

Battlefield electrical power requirements continue to grow with the deployment of new devices, DEVCOM ARL is proactively investigating the hybridization of multiple power sources and the exploitation of atmospheric intelligence to meet this increasing demand. Researchers are actively exploring the use of photovoltaic (PV) and hydrogen fuel cells (HFC) as part of a future mobile recharging unit.
Building on the strong foundation established by the FY24-AIAD HFC Internship research and subsequent advances at DEVCOM ARL, students will have the opportunity to work with state-of-the-art equipment currently being tested for tactical integration. Collaborating with DEVCOM ARL scientists, students will apply analysis techniques to the HFC/PV and atmospheric data that is populating the laboratory's research and development (R&D) archives. The insights and recommendations gleaned from this joint effort will help shape the FY26 R&D program.

Research Opportunity Skill Set:

  –  Excel / PowerPoint / Word
  –  If possible, Matlab

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

Distributed beamforming combines the signals from multiple radio transceivers to form beams in a desired direction, effectively transforming the distributed transceivers into a single phased array antenna. This technology requires precise synchronization of the transceivers and knowledge of their locations. Distributed beamforming has both commercial and military applications, enhancing the performance of small, low-powered transceivers with small antennas by consolidating them into a single, large transceiver. Key application areas include radio-frequency sensing and communications.
DEVCOM ARL is seeking an electrical engineering student for a summer internship to work on distributed beamforming technologies. The internship may focus on transceiver synchronization, positioning, or signal processing of received signals. While experience with software-defined radios, radio-frequency systems on a chip (RFSOCs), and signal processing in MATLAB or Python is desirable, these skills can be developed on the job. The internship will provide hands-on experience with radio and microwave-frequency test equipment. The position will be located at the Adelphi Laboratory Center, 2800 Powder Mill Road, Adelphi, MD 20783.

Research Opportunity Skill Set:

Skills for the position include the ability to learn to work with software-defined radios or radio-frequency systems on a chip (RFSOCs) and the ability to perform signal-processing analyses in MATLAB or Python. These skills can be developed on the job as part of the internship and are not prerequisites.

Research Opportunity Location:

Adelphi, MD

Research Opportunity Description:

DEVCOM ARL's mission is to research and develop compelling technologies for the US Military and Defense sectors. This includes power electronics systems for military vehicles, power conversion systems, lasers, etc. The thermal team conducts research across electronics cooling, fluidic systems, and materials development for thermal energy storage. Major projects include phase change materials, electronic device packaging, and thermal modeling. The student's project will cover materials investigation for thermal energy storage and its application to electronics cooling.

Research Opportunity Skill Set:

Research tasks may include:
  –  Collect data using industry and research standard tools
  –  Perform data analysis using Matlab or Python
  –  Assist in thermal modeling of Army systems
  –  Regularly present results and updates to the team and mentor
The student must:
  –  Organize self and tasks effectively
  –  Demonstrate focus and problem-solving skills
  –  Be resilient
  –  Be a strong communicator
  –  Be interested in conducting and presenting research
Preference will be given to students with experience in CAD, Matlab/Python, and laboratory research/testing. The candidate should be a self-motivated, organized, quick learner who pays attention to detail and can think critically.
Students interested in graduate school are strongly encouraged to apply.

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

The project involves designing, fabricating, and testing electronic devices manufactured with novel convergent manufacturing techniques. These techniques utilize novel CAD/CAM software and equipment. The electronic devices will be evaluated for their material properties in extreme environments.

Research Opportunity Skill Set:

Experience with circuit design, programming of microcontrollers, CAD/CAM, numerical modeling, and 3D printing.

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

The project involves advancing hypersonic propulsion technologies by simulating high-speed turbulent combustion and material ablation in scramjet engines. The researcher will apply Large Eddy Simulation (LES) tools and Fluid Structure Interaction (FSI) models to analyze system dynamics under extreme conditions. The research aims to bring new fundamental knowledge about high-speed propulsion systems, enhance model accuracy, and support the development of more efficient and robust hypersonic vehicles. This work will contribute to improving the performance and operational capabilities of future military platforms.

Research Opportunity Skill Set:

Unix, C++, Fortran, python, HPC

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

Graphs have long been used to model connectivity. In navigation tasks, connectivity could mean line of sight, communication availability, or the ability to get between point A and point B. In neuroscience, graphs have been used to model neural connectivity. For example, two neurons are connected if they consistently fire together. In each of these examples, edges are used to represent connections between vertices. But what happens when we have connections between 3 or more vertices? The overarching goal of the internship is to look at how this higher order structure can be used in navigation tasks, both in the task itself and within the structure found in the brain. If you’re interested in mathematics, graph theory, topology, neuroscience, how mammals and/or robots navigate, or anything mentioned above, this internship might be for you!

Research Opportunity Skill Set:

Some calculus, programming basics (for loops, logic, etc., python preferred but not required). Special consideration will be given to students with background in statistics, topology, or neuroscience.

Research Opportunity Location:

Edgewood, MD

Research Opportunity Description:

Fosters research, development, testing, and applications of technologies with scientists, engineers, technicians and specialists for protecting warfighters.

Research Opportunity Skill Set:

STEM, criminology, finance and logistics

Research Opportunity Location:

Natick, MA

Research Opportunity Description:

Create 3D animated avatars from 3D skeleton data captured from MoCap systems with or without markers. DEVCOM SC has advanced MoCap system to capture dynamic skeleton motions. Incorporated with 3D whole body scanners in our 3D scanning lab, this project is aiming to create 3D dynamic body models with individual shape that can follow MoCap data sequence. The 3D posable body model will be based on open-source SMPL/SMPLX model.

Research Opportunity Skill Set:

Python, 3D geometric data processing, 3D graphics, optimization

Research Opportunity Location:

Natick, MA

Research Opportunity Description:

Assist in researching and developing cargo aerial delivery components. Projects range from ground impact energy dissipation, container delivery, to manned and unmanned vehicle delivery.

Research Opportunity Skill Set:

Mechanical engineering, aerospace engineering, mechanics of materials

Research Opportunity Location:

Orlando, FL

Research Opportunity Description:

The U.S. Army Combat Capabilities Development Command - Soldier Center (DEVCOM SC) Simulation and Training Technology Center (STTC) is currently researching the application of emerging Generative Artificial Intelligence (GenAI) to military Computer Generated Forces (CGF) with the goal of enhancing simulation behaviors, interoperability between simulation components, and novel ways of using simulation in general. The intern will lead a hands-on project learning GenAI techniques and leveraging commercial GenAI tools applied to a military simulation environment. Although the intern will be in charge of the project, there will be an opportunity to work with a diverse team of experts to help with the intern's professional growth.

Research Opportunity Skill Set:

Computer Science, Computer Engineering, Electrical Engineering

Research Opportunity Location:

Natick, MA

Research Opportunity Description:

Create and analyze, using lasers and analytical modeling, nanofabricated materials (plasmonic metals in a vacuum system with solvent use) that harvest photonic energy into electrons for charging batteries, including those used in electric vehicles.  100s of watts are needed in the future.  The candidate will be mentored by several senior scientists and possibly a more senior undergraduate.  Note: this opportunity is conditional on continuance of current basic research programs.  The candidate may also have the opportunity to carry out more applied R&D with a nearby firm and a group of West Point cadets (undergraduates) who are building a system to provide power via laser beams to electric vehicles.

Research Opportunity Skill Set:

Physics, electrical engineering and/or materials science/engineering. Must have research lab work experience, not simply lab courses.

Research Opportunity Location:

Natick, MA

Research Opportunity Description:

Biological camouflage and dynamic color change are sophisticated defense mechanisms exemplified by cephalopods such as cuttlefish and squid. Understanding the fundamental structure-property relationship of a dynamically tunable and stimuli-responsive bio-enabled/inspired plasmonic metasurface, one that can reversibly and rapidly modulate optical properties, is of interest. This project will focus on identifying such an artificial optical amplifier to enable precise control and manipulation of light.

Research Opportunity Skill Set:

Skills or interest in biology, chemistry, nanoparticles, proteins, electrochemistry, metasurfaces, optical property modulation

Research Opportunity Location:

Natick, MA

Research Opportunity Description:

Intern will utilize their programming skills to help us develop tools for automated labeling of large datasets using new deep learning tools. Intern may also help develop 3D models. Intern must be comfortable working in Python and ideally would have experience with a deep learning framework such as PyTorch or Tensorflow. Experience withmodeling software (such as Blender, Unity, etc.) is also a plus.

Research Opportunity Skill Set:

Python programming, Blender (or similar modelling software). Deep-learning experience (PyTorch or Tensorflow) very desirable.

Research Opportunity Location:

Natick, MA

Research Opportunity Description:

DEVCOM Soldier Center’s Soldier Protection Directorate is working on projects to develop novel catalytic materials using calixarenes. The investigation of these novel materials will be used to develop new technologies ranging from chemical decontamination to fuel production and storage to protect and support America’s Warfighter. We are looking for talented and driven individuals with experience in wet chemistry laboratories and using analytical instruments/equipment and have an interest in organic chemistry or materials science.

Research Opportunity Skill Set:

Potential Majors include but are not limited to: Chemistry, Chemical Engineering, Materials Engineering, Physics. Classes that would be helpful (but are not required) include: Inorganic Chemistry, Organic Chemistry, Quantitative Analysis (Chemistry), Materials Chemistry, Materials Engineering, Statistics. Skills that would be helpful include: Perform wet chemistry experiments, Use of analytical instrumentation/equipment, Data analysis, Excel

Research Opportunity Location:

Aberdeen Proving Ground, MD

Research Opportunity Description:

This research opportunity is focused on developing additive and convergent manufacturing technologies for printed hybrid structures and electronics for electro-magnetic effects. This includes antennas, frequency selective surfaces, as well as high-resolution printing of structures in the micron size scale. The research opportunity would include components of design for additive manufacturing, prototype production, and electrical characterization.

Research Opportunity Skill Set:

Additive Manufacturing, Electrical Engineering, Electrical Characterization

Research Opportunity Location:

Natick, MA

Research Opportunity Description:

DEVCOM Soldier Center’s Soldier Protection Directorate is working on projects to develop new methods for controlled assembly of nanomaterials. The controlled assembly methods will be used to make new metamaterials and explore their unique properties to develop new technologies to protect and enhance America’s Warfighters. We are looking for talented and driven individuals that have experience working in wet chemistry laboratories and experience using analytical instruments/equipment.

Research Opportunity Skill Set:

Potential Majors include but are not limited to: Chemistry, Chemical Engineering, Materials Engineering, Polymer Science, Physics. Classes that would be helpful (but are not required) include: Inorganic Chemistry, Organic Chemistry, Quantitative Analysis (Chemistry), Materials Chemistry, Materials Engineering, Statistics. Skills that would be helpful include: Perform wet chemistry experiments, Use of analytical instrumentation/equipment, Data analysis, Excel

Research Opportunity Location:

Orlando, FL

Research Opportunity Description:

This research project focuses on the development of software prototypes for lightweight augmented reality (AR) glasses, with applications tailored to the needs of the Department of Defense (DoD) and military personnel. The aim is to explore and design user-centric AR experiences on compact, wearable platforms such as the Meta Ray-Ban glasses, as opposed to bulkier alternatives like the Microsoft HoloLens. Interns will contribute to prototyping and testing AR applications that support soldier training needs - field operations, situational awareness, and mission-critical tasks. This work involves balancing technical innovation with the physical and usability constraints of lightweight eyewear, while also considering real-world use cases in defense and training environments.
Interns will gain hands-on experience with cutting-edge AR hardware, develop functional prototypes, and learn about ongoing DoD research in the training & simulation space. This is an ideal opportunity for students interested in wearable technology, human-computer interaction, and real-world applications of AR in training and tactical settings.

Research Opportunity Skill Set:

Programming experience (e.g. C#, Python, C++ - Language for project not set). Ability to work independently in a collaborative environment. Willingness to learn new technologies, tools, and frameworks related to AR. Bonus - Experience with Machine learning, AI, or computer vision, Experience with AR/VR development and platforms such as Unity/Unreal

Research Opportunity Location:

Natick, MA

Research Opportunity Description:

Develop a graphic software to display 3D human body model (whole body or head) from a principal component analysis (PCA) model by selected principal components (PCs). Establish a model (linear regression or neural network based) to map anthropometric measurements to PC space and generate 3D body model from given measurements, by leveraging 2012 US Army Anthropometric Survey database (ANSUR II).

Research Opportunity Skill Set:

Python, GUI design, 3D mesh model generator and viewer, statistical modeling

Research Opportunity Location:

Orlando, FL

Research Opportunity Description:

Student has the opportunity to support multiple research efforts across a dynamic team. Possible duties will include setting up experiments, collecting and analyzing data, producing literature reviews and market surveys.

Research Opportunity Skill Set:

basic engineering skills, ability to effectively communicate both orally and in writing, statistics and basic research skills

Research Opportunity Location:

Natick, MA

Research Opportunity Description:

Research of parachute textile materials and textile-related support to ongoing fielded and emerging parachute systems for both personnel and cargo. Specific topics could include evaluation of alternative PFAS-free textiles, preparation and testing of parachute material used in production contracts, and evaluation and analysis of parachute textile material from field-related operational issues.

Research Opportunity Skill Set:

Textile Technology, Textiles

Research Opportunity Location:

Natick, MA

Research Opportunity Description:

DEVCOM Soldier Center's Cognitive Science and Applications Branch (CSAB) is currently working to develop a suite of physiological measurement sensors (Heart Rate, EEG, Eye Tracking, etc) that when utilized together can detect changes in a Warfighter's Cognitive Load in real time. The algorithm that will be utilized to complete this sensor fusion is an open research topic, and we're looking for talented Individuals with algorithms, AI, and ML experience to help us solve it. Get the opportunity to work alongside a group of dedicated Cognitive Scientists and Engineers a stone's throw away from Boston as we work to Measure, Predict, and Optimize the cognition of our Warfighters.

Research Opportunity Skill Set:

Potential Majors include but are not limited to: Mathematics, Computer/Software/Robotics Engineering, Computer Science, Cognitive Science Classes that would likely be helpful (but are not required) include: Linear Algebra, Algorithms, Machine Learning, Artificial Intelligence, Signal Processing, High Level Statistics and Probability Skill sets that would likely be helpful include: Working with data streams in real time, Kalman Filtering, Physiological Data experience

Research Opportunity Location:

Natick, MA

Research Opportunity Description:

the Tactical Shelters Branch gets lots of inquiries from the field in finding the best fit Shelter per requirements. This can be a Fabric shelter or a Rigid Wall Shelter, uses can be field hospitals, Tactical Operation Centers, Work Shops, or Maintenance Facilities. We see many unique applications in which we take the requirements and design, engineer, and build systems to meet the needs in the field. These needs can be for Arctic Environments down to -60 degrees, or the total opposite in a dry climate over 120 degrees. We utilize local Machine and Fabric Shops for development of systems to suit the needs. Out latest project is building a fabric cover for helicopters in the Arctic so the Airmen can perform maintenance in the field, we are looking to further develop the current system to something with more longevity in the field.

Research Opportunity Skill Set:

Mechanical Engineer

Research Opportunity Location:

Vicksburg, MS

Research Opportunity Description:

The U.S. Army Engineer Research and Development Center (ERDC), Coastal & Hydraulics Laboratory is seeking a motivated student to contribute to advancements in computational fluid dynamics (CFD) modeling of civil water systems. This research will focus on evaluating recently developed fast solvers within the OpenFOAM framework to accelerate large-scale simulations of hydraulic infrastructure. The primary goal is to significantly reduce simulation run times for water flow scenarios in channels and around structures. The student will conduct a series of simulations to quantify the performance gains achieved with these new solvers under the guidance of a mentor. This project offers a unique opportunity to apply cutting-edge CFD techniques to real-world engineering challenges, working directly with experienced research engineers.

Research Opportunity Skill Set:

Potential Majors include: Civil Engineering, Mechanical Engineering, Aerospace Engineering, Mathematics, Applied Mathematics, or related fields. Essential Coursework: Fluid Dynamics, Numerical Analysis, and Linear Algebra. Helpful Skills: Programming experience, familiarity with Linux operating systems, and prior experience with CFD software.

Research Opportunity Location:

Vicksburg, MS

Research Opportunity Description:

The focus of this research is to investigate pile bending moments on battered piles beneath T-walls on embankments over soft ground. The amount of bending moment developed in battered pile systems already in place remains an open question. Largely a soil structure interaction problem, the bending response depends on multiple factors including how moment is transferred between the T-wall footing and the pile (pinned vs fixed connection), the foundation soil stratigraphy, and the loading applied by consolidation or floods. The large uncertainties in how these factors affect the pile have led to the need for very conservative design guidance and unknown performance during flood loading. The true behavior is likely some intermediate between each of these uncertainties and if true, could reduce the safety factor currently employed potentially reducing construction costs and better informing risk assessments. To support this research a series of six experiments using miniaturized models of the problem in a large beam centrifuge will be tested. Centrifuge modeling is ideal for this as it will allow multiple structural and soil conditions to be tested in a controlled environment at the correct stress state.

Research Opportunity Skill Set:

Interest in electronics, single board computers, and mechanical systems; enjoys working with and building small models in a lab environment; problem solving; working in a team; data analysis

Research Opportunity Location:

Vicksburg, MS

Research Opportunity Description:

Work will consist of tasks related to coastal engineering studies including hydrodynamic modeling in complex estuarine and nearshore environments, with a particular focus on processes that drive sediment transport. These specific tasks may include estuarine-scale numerical modeling with applications in regional sediment management (RSM), beneficial use of dredged material (BUDM), and how nature-based solutions can be incorporated into RSM and BUDM frameworks. In addition, nearshore environment research focuses on advancing USACE prediction capabilities in the inner surf and swash zone to improve comprehensive water risk assessments and coastal flooding risk assessments.

Research Opportunity Skill Set:

Coding experience (python preferred)

Research Opportunity Location:

Vicksburg, MS

Research Opportunity Description:

The U.S. Army Engineer Research and Development Center (ERDC) is seeking a motivated intern to contribute to the development and testing of the Deployable Instrument Reconnaissance Tool (DIRT) – a semi-permanent sensor mounting system designed for collecting critical zone observations, particularly in wildfire-prone environments. This internship offers a hands-on opportunity to participate in the full lifecycle of a research project, from design and construction to field deployment and data analysis. The intern will work alongside a team of engineers and scientists to refine the DIRT platform, integrate various sensors (atmospheric, hydrologic, and optical), and analyze the resulting data to improve our understanding of environmental conditions. This project will provide valuable experience in sensor integration, field data collection, and data analysis techniques relevant to environmental monitoring and disaster response.

Research Opportunity Skill Set:

Awareness or experience with CAD modeling, 3D printing and/or laser cutting, component assembly and soldering, Arduino/Raspberry PI programming, deploying and retrieving platforms in field locations, collecting and managing sensor data, and data analysis.

Research Opportunity Location:

Champaign, IL

Research Opportunity Description:

The U.S. Army Corps of Engineers (USACE) Engineer Research and Development Center (ERDC) Construction Engineering Research Laboratory (CERL) provides leading-edge research and development for the national military and civil works missions. Our work focuses on military installations, contingency bases, sustainable training areas, and civil works support. A key objective of our research is to improve the Army’s capacity to design, build, operate, and maintain infrastructure more efficiently. Our goal is to ensure environmental quality and safety while minimizing life-cycle costs. Our research areas include: Sustainable installations; Military ranges and lands; Robotics and autonomous systems; Resilient facilities and infrastructure; Smart sustainable materials; Installation decision support; and Crisis & contingency operations. We are looking for individuals who are interested in conducting research in these areas. Some opportunities include hands-on laboratory and/or field work. You will work alongside our expert staff of research engineers and scientists in a real-world laboratory environment, conducting impactful research to make things better for our soldiers and our Nation.

Research Opportunity Skill Set:

Potential Majors include but are not limited to: Electrical Engineering, Mechanical Engineering, Civil Engineering, Environmental Engineering, Materials Science, Data Science/Analytics, Computer Science & Engineering, Physics, Chemistry, and other related STEM disciplines.

Research Opportunity Location:

Vicksburg, MS

Research Opportunity Description:

ERDC ITL is developing capabilities to enable robotic inspection of large-scale steel and concrete hydraulic structures (locks and dams). Part of this capability is being able to detect and more closely inspect possible damage autonomously using robotic systems. This project will involve implementing computer vision techniques, 3D scanning technologies (such as LiDAR, time of flight sensors, or stereo cameras), and robot arm motion planning algorithms to create a pipeline for defect detection and robotic inspection preceding a repair. This opportunity will expose prospective researchers to a range of robotics research principles, from the fundamentals of sensor selection and networking for large-scale robotic systems, to training custom AI/ML models and fusing two- and three-dimensional data for UI/UX.

Research Opportunity Skill Set:

Relevant skills include: C++ and/or Python programming (C++ preferred), ROS (Robot Operating System), Networking, Robotic sensor integration, Computer Vision (e.g. OpenCV), Linux systems and Unix-style commands, Linear algebra, Space transformations, Robot arm control, Containerized computing

Research Opportunity Location:

Alexandria, VA

Research Opportunity Description:

ERDC's Robotic Geospatial Collection Team is seeking a motivated and talented intern to contribute to cutting-edge research in unmanned ground vehicle (UGV) autonomy. This is an opportunity to gain hands-on experience, with a real UGV, in a rapidly evolving field!

Project Overview:
We are developing a robust navigation solution capable of mapping complex environments without relying on GPS. You will be a key part of a team exploring the latest robotics technologies, specifically ROS 2 and the Navigation2 (NAV2) framework, to enable the automation of heavy equipment.

What You’ll Do:
Hands-on Robotics: You’ll gain practical experience compiling, testing, and integrating ROS 2 packages. First in simulation, and then on a small, ROS 2 compatible UGV platform (utilizing ROS 2 Jazzy).
Algorithm Development & Integration: This will include both short-term goals. Short term goals include refining existing ROS 2 capabilities while longer term goals will investigate the application of behavior trees within NAV2 for more intelligent autonomous behavior.
Real-World Impact: Your work will directly contribute to solutions for challenging real-world problems in geospatial data collection and autonomous operations.
Collaborative Environment: Work alongside experienced robotics engineers and researchers, across multiple ERDC labs, in a supportive and collaborative team.

Research Opportunity Skill Set:

A strong interest in robotics, autonomous systems, and software development. Familiarity with Python and/or C++. Experience with Linux operating systems is a plus. Exposure to ROS/ROS 2 or other robotics frameworks is beneficial, but not required – we’re excited to help you learn!

Research Opportunity Location:

Alexandria, VA

Research Opportunity Description:

The research opportunity will focus on designing research to characterize land cover in urban and peri-urban areas to assist the Army with line of sight, mobility, or maneuvering. The intern will use commercially available multispectral imagery, aerial imagery, or geospatial products as part of the research.

Research Opportunity Skill Set:

Experience in remote sensing, geography, or GIS. Proficiency in Python and ArcPro. At least one semester of statistics or interest in learning statistics.

Research Opportunity Location:

Hanover, NH

Research Opportunity Description:

A team of scientists in ERDC CRREL’s Biogeochemical Sciences Branch is working on the development of a suite of environmentally-informed algorithms to improve the probability of detection for buried explosive hazards through sensor fusion (EO/IR, hyperspectral, radar, and meteorological) and machine learning algorithm development. The resulting algorithm will support the Warfighter in supplying reliable detections in breaching applications. A foundation of object detection algorithms utilized on a single modality will be available, however, sensor fusion for object detection remains an open problem for buried explosive hazards.

Research Opportunity Skill Set:

Potential Majors include but are not limited to applied mathematics, data science, physics, statistics, computer/software engineering, and computer science. Coursework that would be helpful includes numerical linear algebra, signal processing, machine learning, algorithms, artificial intelligence, high-level statistics/probability. Experience coding with python is required.

Research Opportunity Location:

Kitty Hawk, NC

Research Opportunity Description:

The US Army Engineer Research and Development Center’s Field Research Facility is a coastal observatory that has been studying the processes driving coastal change for over 40 years. Continuous measurements of shallow water and surfzone bathymetry is a hallmark of the FRF’s continuous data sets. Nationally, shallow water and surfzone bathymetry data are used to help assess the “health” of our Nation’s coastlines, which is becoming increasingly important as storms batter our coastal infrastructure. The use of nearshore bathymetric surveys to measure coastal change in response to energetic storms, and subsequent recovery, is an essential component of nearshore science and engineering research and is currently limited by a lack of cost‐effective, efficient techniques. FRF researchers are exploring the usage of robotics to conduct bathymetric surveys and collect other data in this dynamic and challenging environment. Platforms (pictures at end of document) of use include: an amphibious uncrewed ground vehicle (AUGV), which has a surface piercing GPS mast to record position and elevation values, a wave piercing, self-righting surface vehicle with single beam sonar, and low-cost attributable surface/diving vessels. The FRF is looking for a summer intern to support this research who will focus on adding capability to the above platforms and may include tasks like integrating sensors and collection firmware; sensor interpretation; behavior and control; modeling and simulation; assistance in field testing; CAD modeling; and engineered recovery system design.

Research Opportunity Skill Set:

The ideal candidate will be either a graduate student or undergraduate student with a strong programing (python, C++) and sensor integration skills; ROS, MOOS-IVP (or equivalents); proficient in Computer Aided Design CAD; experience with UxS motion control; demonstrated ability to work alone, but as part of a team.

Research Opportunity Location:

Champaign, IL

Research Opportunity Description:

ERDC CERL's operational water team has several ongoing projects that include water reuse, harmful algae bloom mitigation, and water treatment solutions supporting both civil works and military missions. You will be able to get hands on experience with technology development, data analysis, and lab skills.

Research Opportunity Skill Set:

Potential majors include but are not limited to Civil/Environmental Engineering, Chemistry, Biology, Data Science. We are looking for applicants that have lab experience and data/coding skills.

Research Opportunity Location:

Alexandria, VA

Research Opportunity Description:

The Geospatial Research Laboratory (GRL) scientists are exploring a new method for generating ghost images using quantum entanglement. They create entangled photons in the laboratory through a process called Spontaneous Parametric Down Conversion (SPDC). However, these quantum correlations can be disrupted by decoherence when the system interacts with its environment. Once decoherence occurs, the behavior of light sources resembles that of classically correlated light. This study will focus on comparing quantum correlations with classical correlations to improve image contrast and spatial resolution. Additionally, it aims to enhance our understanding of the complex relationship between the number of photons per pulse and their subsequent effects on photon correlation for quantum sensing.

Research Opportunity Skill Set:

A summer intern working on the project related to generating ghost images through quantum entanglement should have knowledge of quantum mechanics, particularly entanglement and decoherence, as well as an understanding of photonics and the Spontaneous Parametric Down Conversion (SPDC) process. Familiarity with quantum optics, data analysis, image processing techniques, and optics laboratory practices in quantum optics experiments is desirable. Additionally, proficiency in programming and scientific communication skills will be beneficial for analyzing data and presenting findings effectively.

Research Opportunity Location:

Alexandria, VA

Research Opportunity Description:

Researchers at the Geospatial Research Laboratory (GRL) are pioneering advanced techniques to extract detailed intensity information from intricate 3D point clouds created by Multispectral LiDAR systems. This cutting-edge work involves a dynamic and ongoing process of refining both the hardware and software components, ensuring optimal performance and precision in geospatial data analysis. Their efforts aim to enhance the accuracy and richness of the information captured, opening new avenues for applications in various fields such as environmental monitoring, urban planning, and resource management.

Research Opportunity Skill Set:

For undergraduate or graduate summer interns, a recommended skill set includes a solid grounding in calculus, mathematical concepts, optical physics, and electromagnetism. Proficiency in relevant software, programming languages, and data analysis, as well as hands-on experience with optical systems, is desired. Strong communication, problem-solving, time management, adaptability, and teamwork skills are crucial for effective collaboration.

Research Opportunity Location:

Vicksburg, MS

Research Opportunity Description:

This research will focus on developing and evaluating automated methods for identifying vulnerabilities within critical Operational Technology (OT) systems. OT is the hardware and software that interacts with the physical world and often manages critical infrastructure. The intern will investigate multiple cybersecurity techniques, such as passive/active tools, static/dynamic analysis, and machine learning to detect vulnerabilities in OT and industrial control systems (ICS) protocols and devices. The goal is to improve the security posture of these vital systems against evolving cyber threats. This research will involve working with simulated OT environments and analyzing real-world vulnerability data. The researcher(s) will contribute to the development of tools and methodologies for proactive vulnerability management.

Research Opportunity Skill Set:

Familiarity with cybersecurity concepts; Experience with scripting languages; Knowledge of industrial control systems (ICS) or SCADA systems is desirable but not required; Understanding of common vulnerability databases; Strong analytical and problem-solving skills; Ability to work independently and as part of a team