DEVCOM Army Research Laboratory – Adelphi Laboratory Center – Postdoctoral Fellows
- AEOP Internships & Fellowships
- Location: Adelphi, MD
- Job Number: 7304402
- Posting Date: Newly posted
- Salary / Pay Rate: Competitive
- Application Deadline: Open Until Filled
Job Description
Army Educational Outreach Program (AEOP) Internships and Fellowships provide paid civilian research opportunities for high school through postdoctoral individuals in U.S. Army Research Labs and Centers. Projects focus on the most current and cutting-edge priorities of the Department of Defense.
Recruiting postdoctoral researchers at the U.S. Army Combat Capabilities Development Command Army Research Laboratory, known as DEVCOM ARL, the Army’s research laboratory. Nested strategically within DEVCOM and the Army Futures Command, ARL’s mission is to Operationalize Science. A hallmark of ARL’s mission is collaborative partnerships to broaden Army access to expert talent and accelerate transitions of science-enabled capabilities. This site operates on a rolling application basis. Due to the high volume of applications, not all candidates may receive an immediate response. However, all applications will remain under consideration for future opportunities as they become available. Applicants must be 16 to apply.
Seeking Postdoctoral Fellows for the following projects:
Signal and Image Processing Capability Assessments for 3-D SAR Image Formation and Distributed RF Node Tracking and Communication (ALC014)
Assess unique integration angle positions for optimum 3-D SAR image formation to detect buried explosive hazard targets. Communication and tracking algorithms associated with distributed RF nodes to address simultaneous tracking and comms within a contested and congested EME.
AI and ML-based detection algorithm development and assessment (ALC015)
Collection of multiple position, angle and frequency spectrum data sets to feed AI and ML-based detection algorithms.
AI and Artificial Reasoning (ALC016)
The U.S. Army Combat Capabilities Development Command Army Research Laboratory (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.
Advanced Ferroelectric-Based Sensing, Packaging and Integration (ALC017)
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.
Radar Development and Data Collection (ALC018)
Become acquainted with stepped-frequency radar. Learn to operate custom radar software and collect data. Learn to analyze radar results. Perform testing on RF hardware using lab equipment. Perform analysis in MATLAB or similar.
Laser Spectroscopy of Ultra-Wide and Wide Bandgap Semiconductors (ALC019)
New ultra-wide and wide bandgap (U/WBG) semiconductor materials are important to making advances in power and RF electronics, and ultraviolet (UV) opto-electronics. This project applies laser spectroscopy techniques, including photoluminescence and time-correlated single photon counting, to understanding 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 laser.
Developing speech-to-text models for low-resource languages of military interest (ALC020)
Researcher will use open development tools in a Linux environment to train deep neural network models from recorded examples of speech.
Scene Context for Decision Making (ALC021)
The U.S. Army Combat Capabilities Development Command Army Research Laboratory (DEVCOM 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.
Synthesis and Characterization of Novel Organic and Organometallic Chromophores for Non-Linear Optical (NLO) Applications (ALC023)
The successful student would aid in the synthesis, purification, and characterization of new organic and organometallic chromophores for the development of novel non-linear optical (NLO) materials. The student would gain experience in analyzing chemical characterization techniques such as nuclear magnetic resonance (NMR) spectroscopy, mass spectrometry (MS), x-ray crystallography, electrochemistry, and optical characterization including, UV-visible absorption, photoluminescence, transient absorption, and Z-scan spectroscopies.
Atmospheric Remote Sensing (ALC024)
The atmosphere effects 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, Doppler radars, and acoustic sensors.
Investigating the Nonlinear Optical Properties of 2D Materials (ALC001)
This project seeks to investigate the synthesis of novel two-dimensional (2D) materials and their heterostructures along with the determination of their linear and nonlinear optical properties. The Researcher will be required to perform linear optical measurements such as UV-VIS spectroscopy, photoluminescence spectroscopy, transient absorption spectroscopy as well as have experience in wet chemistry. The Researcher will also be required to have a strong background in 2nd and 3rd order nonlinear optical characterization including experience in ultrafast time-resolved techniques. Research experience in chemical vapor deposition (CVD), electron-beam (E-beam) and sputtering deposition, optical metrology, and/or nanofabrication is desired, but not required.
Acoustic and Seismic Sensing and Signal Processing (ALC025)
Further research is needed to advance the understanding of novel acoustic and seismic sensing strategies that also includes signal-to-noise optimization though software and hardware developments. May include advanced work towards data handling to include machine learning solutions to multimodal sensor fusion.
Integrated Photonics Postdoctoral Fellow (ALC026)
Our team is focused on the development of wearable sensors for the continuous sensing of chemicals, small molecules and proteins. The aim of this project is to develop a prototype and/or deployable system for health diagnostics and continuous monitoring. Current areas of interest for the project are recognition element integration, microfluidics, circuit design and computer interfacing. This project targets sensing for sports medicine, performance, safety and health diagnostics. Primary responsibility will be assisting in the development of wearable PIC sensors with integrated electronics as well as characterizing and optimizing films/components for sensing requirements. Additional responsibilities will include working with surface modifications and polymer deposition.
Electromagnetic Field and Antenna Array Optimization for Distributed Radar and RF Technologies (ALC013)
The U.S. Army Combat Capabilities Development Command Army Research Laboratory (DEVCOM ARL) is seeking a highly qualified individual for a visiting faculty appointment in the areas of antennas, antenna arrays and active electromagnetic field manipulation, for radar and general RF applications. This position requires a strong theoretical background in complex optimization problems, as well as advanced knowledge of electromagnetic field theory, with emphasis on antenna radiation, as well as beamforming and imaging using antenna arrays. The candidate will collaborate with ARL researchers on problems of current interest to the Army in radar and RF technologies, involving sparse, multi-static arrays implemented as distributed RF systems on unmanned aerial vehicle (UAV) platforms. The position will involve algorithm development for fast solution of optimization problems, using the Matlab and/or Python languages. The algorithms will be tested on computer models, with a well-defined path to future practical applications. A Ph.D. in applied mathematics, combined with a current academic appointment is preferable for this position.
To apply for a position:
1) Click Apply Now
2) Create a New Account
3) Start “2025 Fellowship Application”
4) Under “4. Fellowship Opportunities,” search for the opportunity using the AEOP reference code
5) Select to apply
Recruiting postdoctoral researchers at the U.S. Army Combat Capabilities Development Command Army Research Laboratory, known as DEVCOM ARL, the Army’s research laboratory. Nested strategically within DEVCOM and the Army Futures Command, ARL’s mission is to Operationalize Science. A hallmark of ARL’s mission is collaborative partnerships to broaden Army access to expert talent and accelerate transitions of science-enabled capabilities. This site operates on a rolling application basis. Due to the high volume of applications, not all candidates may receive an immediate response. However, all applications will remain under consideration for future opportunities as they become available. Applicants must be 16 to apply.
Seeking Postdoctoral Fellows for the following projects:
Signal and Image Processing Capability Assessments for 3-D SAR Image Formation and Distributed RF Node Tracking and Communication (ALC014)
Assess unique integration angle positions for optimum 3-D SAR image formation to detect buried explosive hazard targets. Communication and tracking algorithms associated with distributed RF nodes to address simultaneous tracking and comms within a contested and congested EME.
AI and ML-based detection algorithm development and assessment (ALC015)
Collection of multiple position, angle and frequency spectrum data sets to feed AI and ML-based detection algorithms.
AI and Artificial Reasoning (ALC016)
The U.S. Army Combat Capabilities Development Command Army Research Laboratory (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.
Advanced Ferroelectric-Based Sensing, Packaging and Integration (ALC017)
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.
Radar Development and Data Collection (ALC018)
Become acquainted with stepped-frequency radar. Learn to operate custom radar software and collect data. Learn to analyze radar results. Perform testing on RF hardware using lab equipment. Perform analysis in MATLAB or similar.
Laser Spectroscopy of Ultra-Wide and Wide Bandgap Semiconductors (ALC019)
New ultra-wide and wide bandgap (U/WBG) semiconductor materials are important to making advances in power and RF electronics, and ultraviolet (UV) opto-electronics. This project applies laser spectroscopy techniques, including photoluminescence and time-correlated single photon counting, to understanding 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 laser.
Developing speech-to-text models for low-resource languages of military interest (ALC020)
Researcher will use open development tools in a Linux environment to train deep neural network models from recorded examples of speech.
Scene Context for Decision Making (ALC021)
The U.S. Army Combat Capabilities Development Command Army Research Laboratory (DEVCOM 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.
Synthesis and Characterization of Novel Organic and Organometallic Chromophores for Non-Linear Optical (NLO) Applications (ALC023)
The successful student would aid in the synthesis, purification, and characterization of new organic and organometallic chromophores for the development of novel non-linear optical (NLO) materials. The student would gain experience in analyzing chemical characterization techniques such as nuclear magnetic resonance (NMR) spectroscopy, mass spectrometry (MS), x-ray crystallography, electrochemistry, and optical characterization including, UV-visible absorption, photoluminescence, transient absorption, and Z-scan spectroscopies.
Atmospheric Remote Sensing (ALC024)
The atmosphere effects 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, Doppler radars, and acoustic sensors.
Investigating the Nonlinear Optical Properties of 2D Materials (ALC001)
This project seeks to investigate the synthesis of novel two-dimensional (2D) materials and their heterostructures along with the determination of their linear and nonlinear optical properties. The Researcher will be required to perform linear optical measurements such as UV-VIS spectroscopy, photoluminescence spectroscopy, transient absorption spectroscopy as well as have experience in wet chemistry. The Researcher will also be required to have a strong background in 2nd and 3rd order nonlinear optical characterization including experience in ultrafast time-resolved techniques. Research experience in chemical vapor deposition (CVD), electron-beam (E-beam) and sputtering deposition, optical metrology, and/or nanofabrication is desired, but not required.
Acoustic and Seismic Sensing and Signal Processing (ALC025)
Further research is needed to advance the understanding of novel acoustic and seismic sensing strategies that also includes signal-to-noise optimization though software and hardware developments. May include advanced work towards data handling to include machine learning solutions to multimodal sensor fusion.
Integrated Photonics Postdoctoral Fellow (ALC026)
Our team is focused on the development of wearable sensors for the continuous sensing of chemicals, small molecules and proteins. The aim of this project is to develop a prototype and/or deployable system for health diagnostics and continuous monitoring. Current areas of interest for the project are recognition element integration, microfluidics, circuit design and computer interfacing. This project targets sensing for sports medicine, performance, safety and health diagnostics. Primary responsibility will be assisting in the development of wearable PIC sensors with integrated electronics as well as characterizing and optimizing films/components for sensing requirements. Additional responsibilities will include working with surface modifications and polymer deposition.
Electromagnetic Field and Antenna Array Optimization for Distributed Radar and RF Technologies (ALC013)
The U.S. Army Combat Capabilities Development Command Army Research Laboratory (DEVCOM ARL) is seeking a highly qualified individual for a visiting faculty appointment in the areas of antennas, antenna arrays and active electromagnetic field manipulation, for radar and general RF applications. This position requires a strong theoretical background in complex optimization problems, as well as advanced knowledge of electromagnetic field theory, with emphasis on antenna radiation, as well as beamforming and imaging using antenna arrays. The candidate will collaborate with ARL researchers on problems of current interest to the Army in radar and RF technologies, involving sparse, multi-static arrays implemented as distributed RF systems on unmanned aerial vehicle (UAV) platforms. The position will involve algorithm development for fast solution of optimization problems, using the Matlab and/or Python languages. The algorithms will be tested on computer models, with a well-defined path to future practical applications. A Ph.D. in applied mathematics, combined with a current academic appointment is preferable for this position.
To apply for a position:
1) Click Apply Now
2) Create a New Account
3) Start “2025 Fellowship Application”
4) Under “4. Fellowship Opportunities,” search for the opportunity using the AEOP reference code
5) Select to apply
