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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 job categories do people searching Weekend Machine Learning Postdoc jobs in Claymont, DE look for?

The top searched job categories for Weekend Machine Learning Postdoc jobs in Claymont, DE are:

Weekend Machine Learning Postdoc jobs near you
Infographic showing various Weekend Machine Learning Postdoc job openings in Claymont, DE as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Postdoctoral Researcher - Electrical and Computer Engineering

Villanova, PA • On-site

Villanova University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Villanova Universityexternal

$105K/yr

Full-time

Retirement, PTO

Re-posted 6 days ago

Villanova University rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Posting Details
Do you have questions about the application process? If so, please refer to the Applicant FAQ's.
Posting Details (Default Section)
Posting Number:
20260054F
Position Title:
Postdoctoral Researcher - Electrical and Computer Engineering
Position Type:
Faculty
Location:
Villanova, PA
Recruitment Type:
Internal/External Applicants
Work Schedule:
full-time/12-months
Department:
204-Electrical and Computer Engineering
Position Summary:
Why work at Villanova?
  • Join a mission-driven organization. Since Villanova University's founding in 1842, we have been inspired by the values of truth, unity, and love, and are a community dedicated to service to others.
  • Villanova has been included among the nation's best colleges and universities. VU's inclusion again in U.S. News & World Report's 2026 "Best Colleges" rankings is another indication of the University's continued prominence and forward momentum.
  • Villanova's most precious asset is our people. As an employee, you will receive a holistic benefits package, generous paid time off, a competitive retirement savings plan, flexible work options, wellness programs including gym membership, professional development, tuition assistance, and more.

The Postdoctoral Research Scholar will actively contribute to project objectives, collaborate with members of the research team, and support the research program led by Dr. Mojtaba Vaezi.
Villanova is a Carnegie-classified doctoral university. From its founding in 1842 to its position today as a nationally recognized leading university, Villanova University has forged a path of academic excellence. The University is in the Philadelphia metropolitan area, home to a large concentration of universities, industries, and government labs.
Villanova is a Catholic university sponsored by the Augustinian Order. The University is an equal opportunity employer and seeks candidates who understand, respect and can contribute to the University's mission and values.
Duties and Responsibilities:
The postdoctoral researcher is expected to actively contribute to the project, work collaboratively as part of the research team, and perform the following major tasks:
  • Conduct theoretical analysis, algorithm development, and simulation studies in the area of machine learning for wireless communications.
  • Develop and implement machine learning techniques for communication systems, with a strong emphasis on producing high-quality research outcomes.
  • Publish research findings in leading journals and conferences and contribute to the dissemination of project results.
  • Assist the PI in preparing manuscripts, presentations, and research proposals.
  • Participate in weekly research meetings and contribute to project reports and presentations for the project sponsor.
  • Collaborate with graduate students and other researchers involved in the project and contribute to a productive and innovative research environment.

Minimum Qualifications:
  • Ph.D. degree in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.
  • Strong organizational, written, and oral communication skills.
  • Ability to work independently and communicate proactively and effectively within a research team.
  • Highly motivated with a strong work ethic and passion for research.
  • Research experience in wireless communications, signal processing, information theory, or related areas.

Preferred Qualifications:
  • Research experience in machine learning for wireless communications, with particular emphasis on interference management and channel coding.
  • Strong publication record or demonstrated potential for publishing in leading journals and conferences.
  • Demonstrated ability and motivation to pursue high-impact research, generate new ideas, and contribute to proposal development and scientific writing.

Physical Requirements and/or Unusual Work Hours:
Special Message to Applicants:
The Department of Electrical and Computer Engineeringis committed to providing rigorous educational experience in the discipline of Electrical and Computer Engineering, graduating well-rounded leaders and life-long learners, who aspire to achieving professional excellence. We are equally committed to the discovery, dissemination, advancement, and application of cutting-edge research.
The Department of Electrical and Computer Engineering and the College of Engineering are deeply committed to work-life balance and family-friendly programs for our faculty.
Please submit your application at: https://jobs.villanova.edu/.
Application packages must include:
  • Cover Letter
  • Curriculum Vitae
  • Academic Transcripts
  • Statements on Teaching Philosophy
  • One representative publication / paper
  • Names and contact information of two references

Note: The successful candidate will be required to submit a Statement of Contribution to University Mission
The review process will begin immediately and will continue until the position is filled.
Posting Date:
07/08/2026
Closing Date (11:59pm ET):
Salary Posting Information:
Competitive
Salary Band:
Job Classification:
faculty

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About Villanova University

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Villanova University, located in Villanova, Pennsylvania, United States, operates within the higher education industry. Its establishment traces back to 1842 by the Augustinians, a Catholic religious order. The university offers a wide range of academic programs in various disciplines, including Liberal Arts and Sciences, Engineering, Nursing, Business, and Law, serving over 10,000 undergraduate, graduate, and law students. Guided by its Augustinian Catholic intellectual tradition, it is committed to community service, and it seeks to cultivate knowledgeable, thoughtful, and ethical leaders. The university’s mission is to empower students to ignite change, with a vision for a just and peaceful world.

Industry

Colleges, universities, and professional schools

Company size

1,001 - 5,000 Employees

Headquarters location

Villanova, PA, US

Year founded

1842

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