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Postdoctoral Fellow Machine Learning Jobs in Connecticut

Wesleyan

Postdoctoral Research Fellow

Middletown, CT

The postdoctoral fellow will work with Dr. Kyungmi Kim and Dr. Matthew Kurtz on research projects ... learning disability or physical disability, political belief, veteran status, sexual orientation ...

Relativity

Principal Applied Scientist

Bridgeport, CT · On-site +1

Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

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Postdoctoral Fellow Machine Learning information

What is a Postdoctoral Fellow in Machine Learning?

A Postdoctoral Fellow in Machine Learning is a researcher who has recently completed their PhD and is engaged in advanced research in the field of machine learning. This role typically involves conducting independent or collaborative research, publishing scientific papers, and sometimes mentoring students. Postdoctoral fellows often work at universities, research institutes, or industry labs, focusing on developing new algorithms, improving existing models, or applying machine learning techniques to specific problems. The position is usually temporary, lasting one to three years, and aims to prepare researchers for permanent academic or industry roles.

What is the difference between Postdoctoral Fellow Machine Learning vs Postdoctoral Research Scientist?

AspectPostdoctoral Fellow Machine LearningPostdoctoral Research Scientist
Required credentialsPhD in Computer Science, Data Science, or related fieldPhD in relevant field, often with specialized research experience
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, tech companies
Employer and industry usagePrimarily academia, government researchPrimarily industry, corporate research divisions
Common search and comparison intentUnderstanding academic research roles in machine learningExploring industry-focused research career paths

Postdoctoral Fellow Machine Learning roles typically focus on academic research, requiring a PhD and working in universities or research institutions. In contrast, Postdoctoral Research Scientist positions are often industry-based, emphasizing applied research within corporate R&D departments. Both roles involve advanced machine learning expertise but differ mainly in work environment and career trajectory.

What are the key skills and qualifications needed to thrive as a Postdoctoral Fellow in Machine Learning, and why are they important?

To thrive as a Postdoctoral Fellow in Machine Learning, you need a strong background in computer science, mathematics, and statistics, typically supported by a PhD and relevant research experience. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience in high-performance computing environments are commonly required. Strong analytical thinking, effective scientific communication, and collaboration skills help you contribute to research teams and disseminate findings. These skills and qualities are crucial for advancing research, developing innovative solutions, and building a successful academic or industry career in machine learning.

What are some common challenges faced by Postdoctoral Fellows in Machine Learning, and how can they be addressed?

Postdoctoral Fellows in Machine Learning often encounter challenges such as balancing independent research with collaborative projects, staying current with rapidly evolving technologies, and securing funding or publishing in top-tier journals. To address these, it's helpful to establish clear communication with mentors and collaborators, set aside dedicated time for reading recent literature, and actively seek feedback on research drafts. Building a professional network through conferences and seminars can also open opportunities for collaboration and career advancement.
What are popular job titles related to Postdoctoral Fellow Machine Learning jobs in Connecticut? For Postdoctoral Fellow Machine Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Postdoctoral Fellow Machine Learning jobs in Connecticut look for? The top searched job categories for Postdoctoral Fellow Machine Learning jobs in Connecticut are:
What cities in Connecticut are hiring for Postdoctoral Fellow Machine Learning jobs? Cities in Connecticut with the most Postdoctoral Fellow Machine Learning job openings:
Postdoctoral Fellow Machine Learning jobs near you
Postdoctoral Fellow Positions in Health Services Research

Postdoctoral Fellow Positions in Health Services Research

Yale University

New Haven, CT • On-site

$49K - $66K/yr

Full-time

Posted 3 days ago

Yale University rating

8.7

Company rating: 8.7 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

40th of 535 rated colleges and universities

Job description

Description
The Yale School of Public Health, Department of Health Policy and Management, is seeking two postdoctoral fellows for its program in Health Services Research. These positions are open to scholars from any discipline with substantive interests relating to health and/or healthcare policy research. Applicants should have a strong publication record and demonstrated potential for future contributions to the field.
Postdoctoral fellows will work on their own research under the guidance of program faculty and participate in departmental research seminars. Fellows are also encouraged to become involved in the many faculty-directed research projects to develop their skills. More than forty faculty members from the Yale School of Public Health, Yale School of Medicine, Yale School of Nursing, and Yale Graduate School of Arts and Sciences are affiliated with the program.
Fellows are expected to focus on developing their research skills and writing for publication. Those interested in careers with substantial teaching can explore the many offerings available at the Poorvu Center for Teaching and Learning https://poorvucenter.yale.edu/Postdocs .
This program provides financial support (stipend and research-related funds) for fellows through a training grant provided by the Agency for Healthcare Research and Quality (AHRQ). U.S. citizens, non-citizen nationals, and permanent residents are eligible for funding under this grant. Funding levels for stipends are based on prior experience, following guidelines set by AHRQ.
Please visit the following site to learn more about the Health Policy and Management Department: https://publichealth.yale.edu/research_practice/departments/hpm/
Qualifications
Individuals with previous research backgrounds acquired during PhD or MD education are eligible to apply for one- or two-year postdoctoral fellowships.
Application Instructions
To apply, please submit the following:
  • a cover letter,
  • CV,
  • research paper, and
  • two reference letters.

In the cover letter, please include the names of two Yale faculty members who might be appropriate mentors for you; one should be a member of the faculty of the Yale School of Public Health. Please indicate whether you have been in contact with them and what makes these particular matches seem promising for your research agenda. Review of applications will begin on January 1, 2025, and will continue until successful candidates are identified.
For questions, contact: Mark Schlesinger, PhD at mark.schlesinger@yale.edu

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