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Michigan State University

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<h3>Position Summary</h3>
<p>The Michigan Cooperative Fish and Wildlife Research Unit in the Department of Fisheries and Wildlife at Michigan State University seeks a postdoctoral scholar to work on a project to analyze bird – habitat relationships across Michigan. The postdoctoral scholar will work on the project, led by Dr. Brett DeGregorio and Dr. Steven Gray, funded by the Michigan Department of Natural Resources, and will work closely will colleagues from the agency. The ultimate goal and desired deliverables include an interactive, web-based mapping app that displays the distribution of all bird species occurring in Michigan and their likelihood of occurrence at any given location based on remotely sensed habitat features and available eBird status and trends data. Candidate will be responsible for analyzing avian-habitat relationships and developing the interactive web-based mapping tool to display results. Project will consist of two components: the analysis of the avian-habitat associations and then the construction and development of the mapping tool.</p>
<p>Candidates must have extensive experience working with large-scale habitat or avian data sets. Familiarity using eBird data and satellite imagery is preferred. Candidates must have extensive familiarity with GIS-programs (ESRI-preferred) and familiarity with landcover and habitat data within GIS. Candidates should have familiarity with coding languages including R and Python.</p>
<h3>Equal Employment Opportunity Statement</h3>
<p>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.</p>
<h3>Required Degree</h3>
<p>Doctorate -Ornithology or related field</p>
<h3>Minimum Requirements</h3>
<p>PhD (must have PhD or Satisfactory completion of the Ph.D. dissertation defense/orals with minimal revisions needed that are expected to be completed within three to six months) in ornithology or a related field. Experience analyzing avian habitat use and ecology. Extensive experience and background working with birds and GIS. </p>
<p> </p>
<h3>Desired Qualifications</h3>
<p>Experience with eBird data analysis. Experience with ArcGIS or other GIS program. Ability to code in more than 1 programming language (R, python, java, etc).</p>
<h3>Required Application Materials</h3>
<p>CV and contact information for 3 references.</p>
<h3>Special Instructions</h3>
<p>This position is funded for one-year from date of hire, with renewal contingent upon the availability of continued funding. The search committee will begin reviewing applications on May 15 and continue until a suitable candidate is selected. Questions regarding this position can be addressed to the Search Committee Chair: Dr. Brett DeGregorio, Michigan Fish and Wildlife Cooperative Research Unit Leader, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA, <a title="mailto:degreg12@msu.edu">degreg12@msu.edu</a>. </p>
<h3>Review of Applications Begins On</h3>
<p>05/15/2026</p>
<h3>Remote Work Statement</h3>
<p>MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.</p>
<h3>Website</h3>
<p>https://www.canr.msu.edu/fw/</p>
<h3>Department Statement</h3>
<div>
<p>The <strong>Department of Fisheries and Wildlife</strong> is a vibrant community of scholars including approximately 50 core faculty, 20 postdoctoral research associates, 100 graduate students, 240 undergraduate students, 7 core staff, and 25 research/center/program staff. Our Mission is to build local, national, and international capacities to conserve ecosystems that support fish, wildlife, and society through integrated programs in research, education and engagement. We are committed to the integrative nature of natural resources conservation and management, with our expertise ranging from disciplinary areas with a long-standing history in the domain of fisheries and wildlife to those emerging more recently.</p>
</div>
<div>
<p>The <strong>DeGregorio Lab</strong> studies wildlife behavior, inter-species interactions and wildlife community responses to human impacts and activity.  We collectively study a diversity of wildlife including turtles, snakes, songbirds and game birds, and mammalian mesopredators. I am particularly drawn to studying the underappreciated species such as armadillos, skunks, snakes, and opossum. As a group, we are driven more by the research question and opportunity than the taxa. Because of this we work in wetlands, forests, prairies and urban areas and use diverse research tools such as game cameras, radio-telemetry, and automated acoustic loggers.</p>
</div>
<div>
<p>The <strong>U.S. Geological Survey's Fish and Wildlife Cooperative Research Unit at Michigan State University</strong> was established in 2023. The goal of the cooperative research unit is to work collaboratively with the Michigan Department of Natural Resources and the Fish and Wildlife Service to solve the natural resource challenges in the state, to mentor graduate students to become the next generation of fish and wildlife professionals, and to contribute to the excellence of the Michigan State University Fisheries and Wildlife Department by mentoring students and teaching graduate level courses. </p>
</div>
<h3>MSU Statement</h3>
<p>Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.</p>

Postdoctoral Scholar-Fixed Term

PhD in ornithology or related field; experience analyzing avian habitat data; GIS experience; coding in R and Python; familiarity with eBird data and ArcGIS

<h3>Position Summary</h3>
<p>The postdoctoral researcher will lead and contribute to research on next-generation AI systems, focusing on: Safety and alignment in generative AI and large language models (LLMs), multi-agent systems for reasoning, communication, cooperation, and decision-making, world models, machine unlearning, robustness, and adversarial machine learning, optimization foundations for safe and controllable AI. The candidate is expected to develop novel algorithms, publish in top-tier venues (e.g., NeurIPS, ICML, ICLR), and contribute to proposal writing and mentoring graduate students.</p>
<h3>Equal Employment Opportunity Statement</h3>
<p>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.</p>
<h3>Required Degree</h3>
<p>Terminal -Computer Science, Electrical Engineering, or related field</p>
<h3>Minimum Requirements</h3>
<ul>
<li>Terminal degree in Computer Science, Electrical Engineering, or related field. </li>
<li>Strong background in machine learning, deep learning, or optimization.</li>
<li>Proven research record demonstrated by publications in top-tier conferences/journals.</li>
<li>Experience with large-scale model training and evaluation.</li>
<li>Strong programming skills (e.g., Python, PyTorch/JAX).</li>
<li>Ability to work independently and collaboratively in a research team</li>
</ul>
<h3>Desired Qualifications</h3>
<ul>
<li>Expertise in the following areas: Generative AI / LLMs / multimodal models; Multi-agent systems and reinforcement learning; AI safety, alignment, or machine unlearning; Adversarial robustness and trustworthy AI.</li>
<li>Experience with large-scale distributed systems or foundation models.</li>
<li>Strength in bridging theory and practice (optimization + systems).</li>
<li>Prior experience mentoring students or leading projects</li>
</ul>
<h3>Required Application Materials</h3>
<ul>
<li>Curriculum Vitae (CV)</li>
<li>Research statement</li>
<li>Representative publications (up to 3)</li>
<li>Contact information for 2–3 references</li>
</ul>
<h3>Website</h3>
<p>cse.msu.edu</p>
<h3>Department Statement</h3>
<p>The Department of Computer Science and Engineering has robust research programs in several areas, including AI, Autonomous Driving, Biometrics, Computer Vision, security &amp; privacy, Data Science, Evolutionary Computation, Machine Learning, Networking, and Software Engineering. The Department is home to 55 tenure-system faculty members and teaching specialists, including four endowed professors, 13 NSF CAREER awardees, and one member of the National Academy of Engineering. Our annual research expenditures exceed $11 million. The Department offers accredited B.S. degree programs in Computer Science and Computer Engineering and a B.S. degree in Computational Data Science. In addition to M.S. and Ph.D. degrees in Computer Science, the Department offers an M.S. degree in Data Science in collaboration with the Department of Statistics and the Department of Computational Mathematics, Science &amp; Engineering. For additional information about the CSE Department please visit <a href="https://cse.msu.edu/">https://cse.msu.edu/</a>.</p>
<h3>MSU Statement</h3>
<p>Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.</p>

Postdoctoral Scholar

Terminal degree in Computer Science, Electrical Engineering, or related field; strong ML background; publications; large-scale model experience; Python/PyTorch/JAX; collaborative research.

<h3>Position Summary</h3>
<p>Michigan State University actively promotes a dynamic research and learning environment in which qualified individuals of differing perspectives, and cultural backgrounds, pursue academic goals with mutual respect and shared inquiry. </p>
<p>The Michigan State University department of Geography, Environment, and Spatial Sciences and the Center for Global Change and Earth Observation invite applications for a full-time Postdoctoral Research Associate position in Professor David Roy’s lab (<a href="https://sites.google.com/view/msu-roy-lab/home">https://sites.google.com/view/msu-roy-lab/home</a>) to begin as soon as possible. The position is in support of 5-year US federally funded research to undertake quantitative remote sensing research, including manipulation and processing of terrestrial satellite data, and the opportunity to participate with the USGS/NASA Landsat Science Team working on the next Landsat mission. Qualified candidates will have experience with satellite data processing, computer programming, and published research in the peer reviewed literature. </p>
<h3>Equal Employment Opportunity Statement</h3>
<p>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.</p>
<h3>Required Degree</h3>
<p>Doctorate -geography or related field</p>
<h3>Minimum Requirements</h3>
<p>The successful candidate is required to have a PhD with a quantitative background, at least three years computer programming experience, and at least one first authored publication in the peer reviewed remote sensing literature and an interest in remote sensing research. </p>
<h3>Desired Qualifications</h3>
<p>At least three years experience using satellite data. Good oral and written communication and critical thinking skills. Demonstrated ability to work in a research team. Willingness to continue to write research articles. Coding in a Linux environment. Coding in R and Python. Deep learning experience.  Terrestrial remote sensing research experience using time series.</p>
<h3>Required Application Materials</h3>
<p>The application should include (i) a short cover letter, (ii) a full current CV; (iii) the names, positions, and contact information for three referees; and (iv) one or two published journal manuscripts with primary authorship by the applicant.  </p>
<h3>Special Instructions</h3>
<p>If you have questions about this position, please contact Dr. David Roy (<a>roydavi1@msu.edu</a>).</p>
<h3>Review of Applications Begins On</h3>
<p>04/16/2026</p>
<h3>MSU Statement</h3>
<p>Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.</p>

PhD in geography or related field; quantitative background; 3+ years programming; at least one first authored publication in remote sensing; experience with satellite data; Linux; Python; R; deep learning.

<h3>Position Summary</h3>
<p>This position will be working with existing research staff and graduate students to research, develop, implement, and test novel signal processing and robotics software for applied electromagnetics applications.</p>
<p>Primary responsibilities in this role include</p>
<ul>
<li>Leading development and implement state estimation and fusion algorithms for RF and robotic systems</li>
<li>Lead implementation of mobile robotic control systems</li>
<li>Collaborating on development and implement estimation algorithms for time and frequency estimation</li>
<li>Integrate estimation and control algorithms into various experimental systems, including embedded and resource constrained systems with various heterogenous computing topologies</li>
</ul>
<p>Additional responsibilities include</p>
<ul>
<li>Assisting with development of GUI software tools to control and visualize systems</li>
<li>Assisting with CI/CD tooling for software testing and deployment</li>
<li>Assisting with software architecture planning</li>
<li>Assisting with electrical and mechanical integration of various components and subsystems into robust compact systems</li>
</ul>
<h3>Equal Employment Opportunity Statement</h3>
<p>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.</p>
<h3>Required Degree</h3>
<p>Doctorate -Electrical and Computer Engineering</p>
<h3>Minimum Requirements</h3>
<p>Required experience includes:</p>
<ul>
<li>Significant experience implementing high performance sensor fusion and state estimation algorithms in real systems using, e.g., Kalman filters, particle filters, etc.</li>
<li>Significant experience using Python for high performance applications with libraries such as: Numpy, Numba, CuPy, and PyQtGraph</li>
<li>Significant experience using C++ for numerical computing applications</li>
<li>Significant Linux/Unix system development experience, especially for real-time latency-sensitive applications</li>
<li>Experience developing distributed networked applications</li>
<li>Experience using robotics frameworks such as ROS/ROS2 and QGroundControl</li>
<li>Experience developing large software projects consisting of many components</li>
<li>Experience using software version control software such as Git and interfaces such as GitHub and GitLab</li>
<li>Experience developing for embedded, resource constrained compute systems</li>
<li>Familiarity with basic electromagnetic principles and RF components</li>
<li>Familiarity with simultaneous localization and mapping (SLAM) algorithms</li>
</ul>
<h3>Desired Qualifications</h3>
<p>Additional desired experience includes:</p>
<ul>
<li>Experience using software-defined radios (SDRs) and relevant frameworks such as GNU Radio</li>
<li>Experience implementing high performance signal processing algorithms on resource constrained hardware</li>
<li>Experience using FPGA development tools such as Vivado and LiteX</li>
<li>Experience using GPU compute frameworks such as CUDA</li>
<li>Experience with graphical frameworks such as Qt (PySide6/PyQt)</li>
<li>Experience with GitLab CI/CD tools for software testing and deployment</li>
<li>Experience using and creating Docker files for reproduceable deployment environments</li>
<li>Experience using and creating virtual environments such as Conda and Pixi</li>
<li>Experience packaging software for distribution using PyPI and Conda and build systems such as conda-build, rattler-build, setuptools, hatchling, etc.</li>
<li>Experience with 3D modeling and 3D printing</li>
<li>Experience with PCB development</li>
</ul>
<h3>Required Application Materials</h3>
<ol>
<li>CV (including relevant publication history)</li>
<li>Cover Letter</li>
<li>Professional References (2)</li>
</ol>
<h3>Review of Applications Begins On</h3>
<p>04/29/2026</p>
<h3>Summary of Physical Demands</h3>
<p>Applicant will be required to perform basic electrical laboratory work including lifting heavy objects (&lt;50 lbs) and performing electrical fabrication using electrical soldering iron, hot air tools, and solvents such as isopropyl alcohol for surface cleaning.</p>
<h3>Website</h3>
<p>https://engineering.msu.edu/departments/ece</p>
<h3>Department Statement</h3>
<p>The Department of Electrical and Computer Engineering has strong interdisciplinary research and educational programs on a foundation of core electrical and computer engineering disciplines and provides first-class education while engaging in research at the frontiers of knowledge. The Department has 44 faculty members, including 14 IEEE Fellows, 14 NSF CAREER, 3 DARPA YFA, one AFOSR YIP awardee, and four University Distinguished Faculty members. The Department has strong research programs in all major areas of electrical and computer engineering, with annual research expenditures of over $16 million. Faculty in the Department are leading several federal and industry-supported centers including the Fraunhofer USA Center Midwest (CMW) for Coatings and Diamond Technologies. The Department has accredited B.S. degree programs in both Electrical Engineering and Computer Engineering. The current enrollment is approximately 200 full-time graduate students and over 900 undergraduate students. For additional information about the ECE Department please visit https://ece.msu.edu/.</p>
<h3>MSU Statement</h3>
<p>Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.</p>

PhD in Electrical and Computer Engineering with extensive experience in sensor fusion, state estimation, Python/C++, Linux RT, ROS/ROS2, distributed apps, Git, embedded systems; RF/EM knowledge; SLAM familiarity.

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