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Online Machine Learning Postdoc Jobs in Washington

Umd

Post-Doctoral Associate

College Park, MD · On-site

$48K - $65K/yr

... machine learning. The postdoc may also organize and participate in relevant workshops to ... Net Online Search Firm Managed Recruitment There are some positions that are not advertised on this ...

Howard University

Assistant Professor

Washington, DC · On-site

... machine learning, and artificial intelligence. • Supervise and mentor undergraduate and graduate students, postdoctoral scholars, and junior researchers. • Collaborate with faculty across ...

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Online Machine Learning Postdoc information

What is the difference between Online Machine Learning Postdoc vs Data Scientist?

AspectOnline Machine Learning PostdocData Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often a PhD is preferred but not required
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, tech firms, startups, corporate analytics teams
Employer & Industry UsagePrimarily academic, research-focused roles in universities or research institutionsCommercial sector, product development, data analysis, and business intelligence

The Online Machine Learning Postdoc typically focuses on academic research, exploring new algorithms and theories in machine learning, often in a university setting. In contrast, a Data Scientist applies machine learning techniques to solve real-world business problems in industry. While both roles require strong technical skills, the Postdoc emphasizes research and publication, whereas Data Scientists focus on data analysis and product development.

What are the most commonly searched types of Machine Learning Postdoc jobs in Washington? The most popular types of Machine Learning Postdoc jobs in Washington are:
What are popular job titles related to Online Machine Learning Postdoc jobs in Washington? For Online Machine Learning Postdoc jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Online Machine Learning Postdoc jobs in Washington look for? The top searched job categories for Online Machine Learning Postdoc jobs in Washington are:
What cities in Washington are hiring for Online Machine Learning Postdoc jobs? Cities in Washington with the most Online Machine Learning Postdoc job openings:
Online Machine Learning Postdoc jobs near you
Infographic showing various Online Machine Learning Postdoc job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Post-Doctoral Associate

Umd

College Park, MD • On-site

$48K - $65K/yr

Full-time

Re-posted 10 days ago

Job description

Job Description SummaryORGANIZATION SUMMARY STATEMENT
The University of Maryland Institute for Advanced Computer Studies (UMIACS) invites applications for a Postdoctoral Associate Candidate to apply.
This postdoc will perform research on 3D scene reconstruction, novel view synthesis and inverse rendering, building on state of the art techniques such as neural radiance fields, Gaussian splatting and differentiable rendering. In addition to independent research, collaboration on and contributions to larger projects is expected. The postdoc will participate in internal reading groups, seminars and meetings to contribute to research activities in our team.
RESPONSABILITES INCLUDE:
Publishing and Presentations: The postdocs will write and publish academic papers to present research results at top venues in computer vision, computer graphics and machine learning. The postdoc may also organize and participate in relevant workshops to disseminate their work in the research community.
Mentoring: The postdoc will mentor and guide graduate and possibly undergraduate students in their research work on related topics.
Grants: The postdoc may apply for and secure grants and fellowships to fund future research.
Research: This postdoc will perform research on 3D scene reconstruction, novel view synthesis and inverse rendering, building on state of the art techniques such as neural radiance fields, Gaussian splatting and differentiable rendering. In addition to independent research, collaboration on and contributions to larger projects is expected. The postdoc will participate in internal reading groups, seminars and meetings to contribute to research activities in our team.
Publishing and Presentations: The postdocs will write and publish academic papers to present research results at top venues in computer vision, computer graphics and machine learning. The postdoc may also organize and participate in relevant workshops to disseminate their work in the research community.
MINIMUM QUALIFICATIONS:
Education: Ph.D. in Computer Science or related fields.Additional Job Details

Required Application Materials:

  • A cover letter detailing research interests and fit for the position.
  • A curriculum vitae including a list of publications.
  • A research proposal (max 2 pages) outlining your proposed ideas in the areas mentioned above
  • Contact information for three references.

Best Consideration Date: 02/05/2025

Posting Close Date: NA

Open Until Filled: YES

Financial Disclosure RequiredNo

For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.

DepartmentCMNS-Institute for Advanced Computer StudiesWorker Sub-Type Faculty RegularSalary Range80,000-85,000
Benefits Summary

For more information on Regular Faculty benefits, select this link.

Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regardingdisclosablebackground checkinformation. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO/AA Statement

The University of Maryland, College Park is an EqualOpportunity/AffirmativeAction Employer; all qualified applicants, including veterans and people with disabilities, will receive consideration for employment. UMD is actively engaged in recruiting, hiring, and promoting underrepresented communities. Please read the entire University of MarylandEqual Employment Opportunity and Affirmative Action Statement of Policy.

Women, Minorities, Disabled, Veterans, and LGBTQ+ Welcome!

Diversity Statement

The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.

Title IX Non-Discrimination Notice

The University of Maryland (UMD) does not discriminate on the basis of sex, gender identity or expression, sexual orientation, race, color religion, national origin, ethnicity, physical or mental disability, protected veteran status, age, genetic information or any other characteristic protected by law in its programs and activities. Specifically, Title IX prohibits discrimination on the basis of sex in UMD programs and activities, including with respect to admission and employment.

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