ZipRecruiter

Log In

1

Postdoctoral Fellow Machine Learning Jobs in Virginia

Amazon

Data Scientist, AWS Security

Arlington, VA · On-site

... machine learning, and big data processing will be crucial in building scalable security solutions. You'll collaborate with software engineers, security engineers, and fellow data scientists to ...

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 ...

STR

Principal Signal Processing Researcher

Arlington, VA · On-site

$206K - $284K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning ... Strong communication skills and the ability to describe complex technical concepts to fellow ...

STR

Principal Signal Processing Researcher

Arlington, VA · On-site

$206K - $284K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning ... Strong communication skills and the ability to describe complex technical concepts to fellow ...

next page

Showing results 1-20

People also search for

All JobsPostdoctoral Fellow Machine Learning JobsPostdoctoral Fellow Machine Learning Jobs in Virginia

Postdoctoral Fellow Machine Learning information

What are the key skills and qualifications needed to thrive as a Postdoctoral Fellow in Machine Learning, and why are they important?

To thrive as a Postdoctoral Fellow in Machine Learning, you need a strong background in computer science, mathematics, and statistics, typically supported by a PhD and relevant research experience. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience in high-performance computing environments are commonly required. Strong analytical thinking, effective scientific communication, and collaboration skills help you contribute to research teams and disseminate findings. These skills and qualities are crucial for advancing research, developing innovative solutions, and building a successful academic or industry career in machine learning.

What are some common challenges faced by Postdoctoral Fellows in Machine Learning, and how can they be addressed?

Postdoctoral Fellows in Machine Learning often encounter challenges such as balancing independent research with collaborative projects, staying current with rapidly evolving technologies, and securing funding or publishing in top-tier journals. To address these, it's helpful to establish clear communication with mentors and collaborators, set aside dedicated time for reading recent literature, and actively seek feedback on research drafts. Building a professional network through conferences and seminars can also open opportunities for collaboration and career advancement.

What is a Postdoctoral Fellow in Machine Learning?

A Postdoctoral Fellow in Machine Learning is a researcher who has recently completed their PhD and is engaged in advanced research in the field of machine learning. This role typically involves conducting independent or collaborative research, publishing scientific papers, and sometimes mentoring students. Postdoctoral fellows often work at universities, research institutes, or industry labs, focusing on developing new algorithms, improving existing models, or applying machine learning techniques to specific problems. The position is usually temporary, lasting one to three years, and aims to prepare researchers for permanent academic or industry roles.

What is the difference between Postdoctoral Fellow Machine Learning vs Postdoctoral Research Scientist?

AspectPostdoctoral Fellow Machine LearningPostdoctoral Research Scientist
Required credentialsPhD in Computer Science, Data Science, or related fieldPhD in relevant field, often with specialized research experience
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, tech companies
Employer and industry usagePrimarily academia, government researchPrimarily industry, corporate research divisions
Common search and comparison intentUnderstanding academic research roles in machine learningExploring industry-focused research career paths

Postdoctoral Fellow Machine Learning roles typically focus on academic research, requiring a PhD and working in universities or research institutions. In contrast, Postdoctoral Research Scientist positions are often industry-based, emphasizing applied research within corporate R&D departments. Both roles involve advanced machine learning expertise but differ mainly in work environment and career trajectory.

What are popular job titles related to Postdoctoral Fellow Machine Learning jobs in Virginia? For Postdoctoral Fellow Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Postdoctoral Fellow Machine Learning jobs in Virginia look for? The top searched job categories for Postdoctoral Fellow Machine Learning jobs in Virginia are:
Postdoctoral Fellow Machine Learning jobs near you
Research Associate in Environmental Sciences

Research Associate in Environmental Sciences

University of Virginia

Charlottesville, VA • On-site

Full-time

Posted 19 days ago

University Of Virginia rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

93rd of 530 rated colleges and universities

Job description

The EHCR Group invites applicants for a postdoctoral research associate under the supervision of Professor Huilin Huang . The EHCR Group in the Department of Environmental Sciences at the University of Virginia aims to improve understanding of climate-related hazards (wildfire, drought, flood) and their impacts on natural environments and human communities using remote sensing, Earth system modeling, and machine learning. The research associate is expected to conduct research on human-fires interactions in built environment.
QUALIFICATION REQUIREMENTS: A PhD in atmospheric science, geography, environmental science, computer science, or a related discipline is required by the start date. Candidates should have strong Python and geospatial-data analysis experience, demonstrated independent research ability, and excellent communication skills.
APPLICATION PROCEDURE: Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs and search for R0077248.
• A ttach a 1-page cover letter listing your research interests and experience
• CV/resume
• 2 representative publications
• Contact information for three references (name, email address, telephone number, and address).
Please note that multiple documents can be uploaded in the box.
APPLICATION DEADLINE: Review of applications will begin on October 20, 2025, but the position will remain open until filled. The University will perform background checks on all new hires prior to employment.
This is a one-year appointment; however, the appointment may be renewed for an additional two, one-year increments, contingent upon available funding and satisfactory performance.
For questions regarding this position, contact Huilin Huang, Assistant Professor, at huilin.huang@virginia.edu .
For questions regarding the application process, contact Rich Haverstrom, Academic Recruiter, at rkh6j@virginia.edu .
For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
Job Profile
J0267 - Research Associate - 12 Month
Career Stream and Level
No Career Stream-No Level
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

What University Of Virginia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

University of Virginia logo

About University of Virginia

Sourced by ZipRecruiter

The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

View All University of Virginia Jobs

Apply