1

Weekend Machine Learning Postdoc Jobs in Maryland

Showing results 41-60

Weekend Machine Learning Postdoc information

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

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

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.

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

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the most commonly searched types of Machine Learning Postdoc jobs in Maryland?

The most popular types of Machine Learning Postdoc jobs in Maryland are:

What are popular job titles related to Weekend Machine Learning Postdoc jobs in Maryland?

For Weekend Machine Learning Postdoc jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Weekend Machine Learning Postdoc jobs in Maryland look for?

The top searched job categories for Weekend Machine Learning Postdoc jobs in Maryland are:

What cities in Maryland are hiring for Weekend Machine Learning Postdoc jobs?

Cities in Maryland with the most Weekend Machine Learning Postdoc job openings:

Postdoctoral Fellow (PREP0004401)

Johns Hopkins University

Gaithersburg, MD • On-site

$53K - $72K/yr

Full-time

Re-posted 29 days ago


Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

190th of 621 rated colleges and universities


Job description

Description
PREP Research Associate
CHIPS Funded Project.

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title:
Digital Twins for Atomic Layer Deposition Processes
The work will entail:
The Chemical Sciences Division of the National Institute of Standards and Technology (NIST) is seeking a postdoctoral researcher to join a multi-disciplinary team of scientists working on advanced modeling of atomic layer deposition (ALD) processes. The project will develop a suite of in situ metrology tools to quantify mass transport processes occurring during thermal ALD. Metrology data will support the development of computational fluid dynamics (CFD) and machine learning (ML) models of transport and surface reaction processes, with the ultimate goal of producing validated digital twins for thermal ALD processes. The project team includes experts in vapor phase deposition processes, in situ optical metrology, micro-electromechanical system (MEMS) design, numerical modeling, and machine learning. NIST maintains unique facilities for the development and application of fast and sensitive in situ diagnostics for vapor phase deposition processes. Multiple research-grade ALD systems dedicated to oxide, metal, and sulfide film deposition are available, as well as optical measurements spanning the UV and mid-IR wavelengths tailored for surface and gas-phase processes.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
• Operating and maintaining multiple ALD system and custom in situ optical setups
• Performing temporally- and spatially-resolved optical measurements during ALD
• Using and analyzing optical process data to validate transport models
• Publishing findings in peer-reviewed scientific journals and presenting at conferences
Qualifications
• Hands-on expertise in the design and assembly of research-grade ALD reactors
• Expertise in building and maintaining custom lab instrumentation
• Expertise in vapor phase deposition processes such as ALD
• Safe operation and maintenance of ALD systems
• Operation of in situ process diagnostics, including custom optical setups
• Knowledgeable in vapor transport mechanisms, precursor chemistry, and process development/optimization applicable to ALD
• Ph.D. or equivalent experience in chemistry, physics, materials science, or related field
• Strong written and oral communication skills
• Ability to work as part of a team and independently
Application Instructions
Please upload the following with your application:
• CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
Self portraits
Phone number
Home address/Country
Citizenship status
Languages spoken
Sex/Gender
Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.

What Johns Hopkins University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Johns Hopkins University logo

About Johns Hopkins University

Sourced by ZipRecruiter

Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876