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Temporary Machine Learning Postdoc Jobs in Washington, DC

... biology postdoctoral fellow positions as part of its newly established Quantitative Biology ... machine learning, and recurrent and deep neural networks. QBI Fellows will have two departmental ...

Summary Summary UMIACS invites applications for a Postdoctoral Fellowship focused on the use of ... Demonstrated experience in programming languages (e.g., C/C++/CUDA/Triton) and machine learning ...

Junior Machinist

Lanham, MD · On-site

$26 - $36/hr

This is a temporary 3-month training position designed for individuals looking to start a career in ... The Junior Machinist will be exposed to learning the following responsibilities: * Review samples ...

Certified Scrum Master (CSM) or formal training in AI, machine learning, or advanced business ... Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY)

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Temporary Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Postdoc, and why are they important?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a Temporary Machine Learning Postdoc expect to engage in during their appointment?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a Temporary Machine Learning Postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

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

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are the most commonly searched types of Machine Learning Postdoc jobs in Washington, DC? The most popular types of Machine Learning Postdoc jobs in Washington, DC are:
What are popular job titles related to Temporary Machine Learning Postdoc jobs in Washington, DC? For Temporary Machine Learning Postdoc jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Washington, DC look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in Washington, DC are:
Post-Doctoral associate

Post-Doctoral associate

University of Maryland

College Park, MD • On-site

$65K - $80K/yr

Full-time

Posted 24 days ago


University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

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Job description

Job Description Summary
Job Description Summary
UMIACS invites applications for a Postdoctoral Fellowship focused on the use of artificial intelligence (AI) in computer systems and high-performance computing (HPC), and accelerating AI using HPC systems. This position offers an opportunity to research the intersection of computer systems, HPC and AI. The selected candidate will join Dr. Bhatele's research group and work closely with Dr. Goldstein's group.
Physical Demands: n/a
Minimum Qualifications:
• Ph.D. in Computer Science, Mathematics, or a related field with a strong computer systems or AI component. Candidates who have recently defended their doctoral thesis or expect to do so by the fellowship start date are encouraged to apply.
• Demonstrated experience in programming languages (e.g., C/C++/CUDA/Triton) and machine learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with parallel programming models and languages (e.g. MPI, OpenMP, CUDA, Kokkos)
• Experience with fine-tuning AI models such as multi-modal models, agent-based models, Code LLMs.
• Excellent writing and communication skills, with the ability to present complex information clearly to both academic and non-academic audiences.
• A collaborative spirit, with a willingness to engage in interdisciplinary research and contribute to a team environment.
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: 2/3/25
Posting Close Date: NA
Open Until Filled: Yes
Financial Disclosure Required
For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.
Department
CMNS-Institute for Advanced Computer Studies
Worker Sub-Type
Faculty Regular
Salary Range
$65,000-80,000
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 regarding disclosable background check information. 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 Equal Opportunity/Affirmative Action 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 Maryland Equal 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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