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Weekend Machine Learning Postdoc Jobs in Washington, DC

SOSi

Data Scientist III

Washington, DC · On-site

This role is responsible for applying data science, machine learning, and data engineering ... May be requested to work evenings and weekends to meet program and contract needs. Working at SOSi ...

SOSi

Data Scientist III

Washington, DC

This role is responsible for applying data science, machine learning, and data engineering ... May be requested to work evenings and weekends to meet program and contract needs. Working at SOSi ...

Amazon

Applied Scientist, AWS Security

Arlington, VA · On-site

Your expertise in statistical analysis, machine learning, and big data processing will be crucial ... We don't like getting paged in the middle of the night or on the weekend, so we work to ensure that ...

Amazon

Applied Scientist, AWS Security

Arlington, VA

Your expertise in statistical analysis, machine learning, and big data processing will be crucial ... We don't like getting paged in the middle of the night or on the weekend, so we work to ensure that ...

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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 Washington, DC?

The most popular types of Machine Learning Postdoc jobs in Washington, DC are:

What are popular job titles related to Weekend Machine Learning Postdoc jobs in Washington, DC?

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

What job categories do people searching Weekend Machine Learning Postdoc jobs in Washington, DC look for?

The top searched job categories for Weekend Machine Learning Postdoc jobs in Washington, DC are:

Weekend Machine Learning Postdoc jobs near you

Assistant Professor in Technology

Bowie State University

Bowie, MD • On-site

Full-time

Re-posted yesterday

Job description

Posting Details
Job Posting Information
Posting Number
F164
Position Title
Assistant Professor in Technology
Rank
Assistant Professor 9115
Regular (PIN) or Long Term Contractual Faculty
Regular
Desired Start Date
Open Date
11/11/2022
Close Date
Open Until Filled
Yes
Duties and Responsibilities
The Department of Technology & Security is seeking excellent candidate for a tenure track position for the Assistant Professor Rank. The successful candidate will provide instruction to undergraduate and graduate level students in internet of Things and Internet Technology courses. Candidate must be ready to be an active participant in departmental. Our student-focused department requires a candidate with strong commitment to excellence in teaching and coordination, as well as a great appreciation for experiential learning to support our current models for high-impact practice in undergraduate STEM education. The candidate should:
  • Provide instruction in Cloud Computing, Artificial Intelligent, Blockchain, Data Analytics and Machine Learning for both undergraduate and graduate courses and related advanced level electives with a strong commitment to curriculum transformation and excellence in teaching.
  • Work with faculty to establish a productive, student-centered, undergraduate and graduate research program in the area of Internet of Things and Internet Technology. Incorporate experiential learning activities into research program.
  • Active participant in scholarly activities, serve as a mentor to students and provide departmental, university and community service.

Conditions of Employment
Offer of employment is contingent upon successful completion of due diligence background check and verification of credentials. Proof of US citizenship or eligibility for U.S. employment will be required prior to employment (Immigration Control Act of 1986).
Please be advised, COVID-19 vaccinations are not required but encouraged for all eligible students, faculty and staff returning to USM institutions. This protocol is subject to change.
Experience
For best consideration please apply by December 18, 2022.
Postdoctoral experience in Bioinformatics, and or Computational Genomics. Experience teaching Introductory as well as advanced Bioinformatics Programming (Python and R) courses in the field, is preferred.
Education
Terminal degree in Computer Science, Business or related field(s).
Knowledge Skills and Abilities
  • Strong research profile in Artificial Intelligence, Machine Learning, Data Analytics and Cloud computing, with a skills in AWS, various statistical packages and Big Data such as R, Python, Matlab, Hadoop, Map Reduce as shown by referred publications and articles.
  • Excellent communication and interpersonal skills, and demonstrated ability to work in teams.
  • Capable of establishing collaborative research programs involving undergraduate students. Evidence of experience spearheading or participating in experiential learning models a plus.
  • Experience working with various stakeholders, such as students, faculty, staff, and administrators.
  • Experience working with underrepresented minorities in STEM.

Minimum Qualifications
Posting Detail Information
Special Instructions to Applicant

Apply