ZipRecruiter

Log In

1

Weekend Machine Learning Postdoc Jobs in Maryland

Umd

Post-Doctoral Associate

College Park, MD

$48K - $65K/yr

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 ...

Johns Hopkins Applied Physics Laboratory

As an In-Situ Sensing Postdoctoral Fellow, you will be at the forefront of developing and integrating novel sensing modalities, artificial intelligence (AI), and machine learning (ML) algorithms to ...

Digital Harbor Foundation

Research Scientist

Baltimore, MD · On-site +1

$120K - $150K/yr

PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related field * 3+ years of postdoctoral or equivalent research experience applying machine learning or ...

next page

Showing results 1-20

All JobsMachine Learning Postdoc JobsWeekend Machine Learning Postdoc JobsWeekend Machine Learning Postdoc Jobs in Maryland

Weekend Machine Learning Postdoc information

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 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 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 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 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:
Weekend Machine Learning Postdoc jobs near you
Postdoctoral Researcher

Postdoctoral Researcher

Johns Hopkins University

Baltimore, MD • On-site

Full-time

Re-posted 23 days ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 205 frontline employees who took The Breakroom Quiz

231st of 885 rated healthcare providers

Job description

Description
The Entropy for Energy (S4E) Laboratory at Johns Hopkins University (PI Corey Oses) has openings for postdoctoral researchers in the data-driven discovery of energy materials. Projects focus on fusion and fission materials, redox chemistry, and quantum-computing-enabled materials discovery.
Qualifications
A. Doctorate in materials science, physics, chemistry, computer science, quantum information science, or related fields.
B. Ability to move to and work at Johns Hopkins University, USA.
C. Proven track-record of first-author publications and presentations. A minimum of three peer-reviewed, first-author publications must be accessible by the S4E team.
D. Proven experience with VASP, Quantum ESPRESSO, LAMMPS, or other ab-initio codes.
E. Strong programming skills in C++ and Python and proficiency with Unix systems.
F. Ability to lead research projects and collaborate with experimentalists.
G. Fundamental understanding of thermodynamics of materials, solid-state physics, inorganic chemistry, and metallurgy at the level of theory/implementation.
H. Expertise in any of the following areas: high-entropy materials, disorder, phonons, magnetism, catalysis, machine learning/artificial intelligence, database/API development, quantum computing for materials science.
Graduate students near the completion of their Ph.D. are welcome to apply. Please provide your anticipated defense date and expected graduation date under Qualification B.
Application Instructions
Submit a single PDF file via Interfolio named "Lastname_Firstname_S4E_202606.pdf" containing a cover letter, CV, and contact information for 3 references. The cover letter should address each point of the qualifications list explicitly (i.e., A, B, C, ...). Provide ample examples and details where possible. Applications without explicit responses will not be reviewed.
OPTIONAL: DOIs for 3 recent and relevant publications can be included at the end of the packet.
Questions can be sent to the S4E team (s4e-admissions at jhu.edu); subject line must contain "S4E Post-Doc".

What Johns Hopkins Medicine employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply