Postdoctoral Research Fellow

Fairfax, VA
Commensurate with education and experience.
Nov 07, 2019
Nov 12, 2019
Analyst, Research
Full Time
Department of Computer Science Postdoctoral Research Fellow

The George Mason University Department of Computer Science within the Volgenau School of Engineering, is seeking a highly motivated postdoctoral research fellow to perform research in the areas of AI (Artificial Intelligence) and Machine Learning (ML). George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason's academic and culturally inclusive environment.

About the Department: The department has over 50 faculty members with wide-ranging research interests including artificial intelligence, algorithms, autonomic computing, computational biology, computer graphics, computer vision, databases, data mining, parallel and distributed systems, real-time systems, robotics, security, software engineering, and wireless and mobile computing. The Computer Science Department has over $8 million in annual research funding and has 13 recipients of the National Science Foundation's prestigious CAREER awards. For more information on the department, visit our Web site:

About the School: The Future of Engineering is Here The Volgenau School of Engineering at George Mason University is a fast-growing force for innovation in technology and education. Its fall 2018 enrollment was close to 8,000 students in 37 undergraduate, master's, and doctoral degree programs, including several first-in-the-nation offerings. As part of a nationally ranked research university, the engineering school's research teams earned more than $68 million in sponsored research awards in the last 12 months. Located in the heart of Northern Virginia's technology corridor, Mason Engineering is known for its leadership in emerging areas including big data, cybersecurity, health care technology, robotics and autonomous systems, signals and communications, and sustainable infrastructure.

About George Mason University: Mason is the largest public research university in Virginia, with an enrollment of nearly 38,000 students studying in more than 208 degree programs. Mason is an innovative, entrepreneurial institution with national distinction in a range of academic fields. The Carnegie Classification of Institutions of Higher Education ranks George Mason University in its top tier of research institutions, with total research expenditures reaching an all-time high of 149 million in sponsored research expenditures for the fiscal year 2018, making good progress toward the university's strategic goal of $225 million by 2024. Mason stands at the doorstep of the Washington, D.C. metropolitan area, with unmatched geographical access to a number of federal agencies and national laboratories. The Northern Virginia business community includes many Fortune 500 companies. In addition to its 677-acre main campus in Fairfax, Mason has campuses in Arlington and Prince William counties in Virginia, as well as an international campus in Songdo, Korea. Reflective of the university's strong commitment to biomedical research and biotechnology is the recent launch of the $40 million, 75-000-square-foot Institute for Biomedical Innovation, and a strategic partnership focused on personalized health with Inova, the largest health system in Northern Virginia.

Responsibilities: The successful applicant will help drive research in the design of novel search, optimization, and ML frameworks and their interface with computational biology. A collaboration group work of spans these areas, so publication-documented prior experience in them is desirable.

The successful applicant will join a vibrant research group and will assume a leadership position in directing PhD, MS, and undergraduate students, as well as collaborate with researchers across domains and disciplines in research, dissemination, and grant proposal writing. While the main focus is on problems in computational biology, the position provides the opportunity, via various collaborations, to expand to other application areas in civil engineering, human-machine teaming, human-computer interfaces, psychology, and more.

The ideal applicant will have broad expertise in AI and ML, publications on high-dimensional, nonlinear optimization, a solid theoretical background, and evidence of both theoretical and application-driven work. Prior expertise in computational biology is advantageous but not necessary.

Required Qualifications: * Ph.D in Computer Science * An earned doctorate by the start date of the position * Excellent programming skills in C++ and Python * Familiarity with other programming languages * Evidence of mentoring and managing other students

Preferred Qualifications: * Candidates with prior experience and expertise in one or more of the areas outlined above.

For full consideration, applicants must complete the online application at for position number F437AZ; and upload a cover letter, CV, and a list of three professional references with contact information. Questions regarding the position should be directed by e-mail to Professor Amarda Shehu, Department of Computer Science,

"Great Careers Begin at Mason!

George Mason University is an innovative, entrepreneurial institution with national distinction in both academics and research. Mason holds a top U.S. News and World Report "Up and Coming" spot for national universities and is recognized for its global appeal and excellence in higher education.

Mason is currently the largest and most diverse university in Virginia with students and faculty from all 50 states and over 135 countries studying in over 200 degree programs at campuses in Arlington, Fairfax and Prince William, as well as at learning locations across the commonwealth. Rooted in Mason's diversity is a campus culture that is both rewarding and exciting, work that is meaningful, and opportunities to both collaborate and create.

If you are interested in joining the Mason family take a look at our current opportunities and catch some Mason spirit at!

George Mason University, Where Innovation is Tradition."

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