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Machine Learning Postdoc Jobs in Virginia (NOW HIRING)

Williammary

Research Scientist

Gloucester Point, VA · On-site

$65K/yr

Experience integrating AI or machine learning approaches into environmental modeling * Experience ... Work closely with graduate students, postdoctoral associates, and visiting scientists * Participate ...

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What are the key skills and qualifications needed to thrive in the Machine Learning Postdoc position, and why are they important?

To thrive as a Machine Learning Postdoc, you need a deep understanding of machine learning algorithms, statistical modeling, and research methodology, typically supported by a completed PhD in a related field. Proficiency with programming languages like Python or R, experience with ML libraries (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are important. Strong analytical thinking, effective communication, and the ability to collaborate across multidisciplinary teams are standout soft skills in this position. These qualifications ensure innovative research contributions, successful project execution, and effective dissemination of findings in both academic and applied settings.

What is a Machine Learning Postdoc job?

A Machine Learning Postdoc is a research-focused position typically held after earning a Ph.D. in a related field. It involves conducting advanced research in machine learning, developing new algorithms, and publishing in top-tier conferences and journals. Postdocs often collaborate with faculty, industry partners, and other researchers to advance the state of the art in AI. The role may include mentoring students and contributing to grant proposals. It serves as a bridge between doctoral studies and a long-term academic or industry research career.

What are the typical responsibilities and collaborative aspects of a Machine Learning Postdoc position?

A Machine Learning Postdoc typically conducts original research, develops and tests new algorithms, and contributes to academic publications or patent applications. Daily tasks often involve data analysis, model building, and experimentation using advanced computational tools. Collaboration is key in this role, as postdocs frequently work alongside faculty, graduate students, and external industry partners to advance research objectives. Additionally, they may mentor junior researchers or students, present at conferences, and participate in grant writing or project planning. This mix of independent research and team collaboration fosters both professional growth and impactful scientific advancements.

What are the most commonly searched types of Machine Learning Postdoc jobs in Virginia? The most popular types of Machine Learning Postdoc jobs in Virginia are:
What are popular job titles related to Machine Learning Postdoc jobs in Virginia? For Machine Learning Postdoc jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Postdoc jobs in Virginia look for? The top searched job categories for Machine Learning Postdoc jobs in Virginia are:
Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in Virginia as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.
Faculty in Electrical & Computer Engineering for Data-Driven AI in Special Education (Tenure Trac...

Faculty in Electrical & Computer Engineering for Data-Driven AI in Special Education (Tenure Trac...

Old Dominion University

Norfolk, VA • On-site

Full-time

Posted 22 days ago

Old Dominion University rating

7.4

Company rating: 7.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

284th of 532 rated colleges and universities

Job description

Posting Details
Posting Details
Job Title
Faculty in Electrical & Computer Engineering for Data-Driven AI in Special Education (Tenure Track/Tenured)
Department
AI CLUSTER HIRE INITIATIVE
Position Number
F1082A
Job Description
The Department of Electrical & Computer Engineering invites applicants for an annual, 10-month position at the Assistant, Associate, or Full Professor rank as part of a multi-position hiring initiative for Data-Driven AI & Its Transformative Impact on Special Education. This hiring cluster aims to fill two positions, one in the School of Data Science and the other in the Department of Electrical and Computer Engineering.
We seek faculty with expertise in Electrical & Computer Engineering or a related field with a primary focus on applications in special education. They are expected to develop/maintain a vibrant, externally funded interdisciplinary research program in computer vision, computer engineering, signal/image processing, Data Science, and AI/machine learning, including but not limited to:
  • Imaging and signal analysis of behavioral, neurodevelopmental, and neurocognitive deficits and their application in special education Assessment, diagnosis, and interventions for emotional intelligence and disability
  • Novel theories, state-of-the-art algorithms, and architectures for learning and real-time applications in human and machine-centered interaction and recognition
  • AI-driven adaptive learning systems, immersive visual learning environments, and visual perception, and their application in special education

Collaboration with other faculty in the Electrical and Computer Engineering, the Department of Human Movement Studies and Special Education, the School of Data Science, the Institute of Data Science, and the Vision Lab is expected.
Candidates will be considered for appointment at all ranks contingent upon appropriate qualifications.
Other Responsibilities:
  • Teach undergraduate and graduate courses
  • Advise graduate students
  • Collaborate with other faculty in the cluster to include Special Education, Electrical and Computer Engineering, School of Data Science, Institute of Data Science, and Vision Lab.
  • Provide service to the department, college and the University.

Position Type
FullTime
Type of Recruitment
General Public
Type of Recruitment
General Public
Minimum required education and/or special licenses, registrations, trainings, or certifications
A Ph.D. in Electrical Engineering, Computer Engineering, or a closely related field is required.
Minimum required level and type of experience, knowledge, skills, and abilities
Candidates for Associate/Full Professor positions must have:
  1. Academic records that merit a tenured appointment in the Department of Electrical and Computer Engineering
  2. A successful record in research and externally funded grants.
  3. Demonstrated ability to interact and communicate clearly with internal and external constituencies.

Preferred Qualifications
  • Postdoctoral experience is strongly preferred for Assistant Professor candidates.
  • A strong publication record and/or experience with grant-funded research.
  • Candidates whose research includes AI/machine learning for special education, from emotional intelligence with earlier and better understanding of neuro-development and neuro-cognitive deficits, and disabilities, development of AI-driven adaptive learning systems, AI-driven therapeutic tools, immersive virtual learning environment, and predictive analytic for fundamental research and applications in industry and medicine, and other applications .

Conditions of Employment
Employment is conditional upon the successful completion and review of a criminal background check.
Location
Norfolk, VA
Job Open Date
07/25/2026
Application Review Date
12/01/2025
Open Until Filled
Yes
Application Instructions
Interested applicants should send the following to
https://jobs.odu.edu/postings/24456:
  1. A letter of application.
  2. A curriculum vitae.
  3. Samples of scholarly work.
  4. Unofficial graduate transcripts.
  5. The names and contact information for three professional references.

Review of applicants will begin December 1, 2025, and the position will remain open until it is filled. For more information about this position, please contact: Dr. Khan Iftekharuddin at kiftekha@odu.edu.
Telework Friendly
No
Reasonable Accommodation Request
If you are an individual with a disability and require reasonable accommodation, please contact the Division of Talent Management and Culture at (757)683-3141.
Pay Transparency Nondiscrimination Provision
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or © consistent with contractor's legal duty to furnish information.
About the College
https://www.odu.edu/engineering
About the Department
The Department of Electrical and Computer Engineering (ECE) within the Batten College of Engineering and Technology is committed to delivering world-class academic programs, conducting cutting-edge research, and serving the University, the Commonwealth of Virginia, and the broader professional community. Our department offers undergraduate majors in Electrical Engineering, Computer Engineering, and in Modeling and Simulation Engineering within Computer Engineering. At the graduate level, we provide master's and doctoral programs with concentrations in Electrical and Computer Engineering, as well as Biomedical Engineering. Additionally, we offer Doctor of Engineering degrees focusing on Cybersecurity and Electrical and Computer Engineering.
The department's 30 faculty members are leaders in their fields, including eminent scholars and endowed professors who have earned prestigious distinctions such as fellowships in top professional societies. Our faculty also serve as directors of renowned research centers Relevant to this position, ECE faculty serve as directors of the Applied Research Center at Jefferson Lab and of the Institute of Data Science.
For more information, visit: https://www.odu.edu/electrical-computer-engineering

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