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Postdoctoral Fellow Machine Learning Jobs in Pennsylvania

The Pennsylvania State University

The work will involve research on machine learning, digital twins, electronic design automation ... The postdoc will have the opportunity to mentor graduate and undergraduate students. Guidance will ...

The Pennsylvania State University

POSITION SPECIFICS Postdoctoral Scholar (Machine Learning or Artificial Intelligence in Molecular and Cellular Biology) The National Synthesis Center for Emergence in the Molecular and Cellular ...

The Pennsylvania State University

... a Postdoctoral Scholar beginning August 2026. The successful candidate will work with Professor ... Qualified candidates are expected to have a background in scientific machine learning,numerical ...

The Pennsylvania State University

Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks for ... Responsibilities The postdoctoral scholar will be expected to: * Conduct original research in ...

The Pennsylvania State University

... fellow researchers across disciplines, and contribute to manuscripts for leading peer-reviewed ... A strong background in artificial intelligence, machine learning, computational science, data ...

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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?

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 Pennsylvania? For Postdoctoral Fellow Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Postdoctoral Fellow Machine Learning jobs in Pennsylvania look for? The top searched job categories for Postdoctoral Fellow Machine Learning jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Postdoctoral Fellow Machine Learning jobs? Cities in Pennsylvania with the most Postdoctoral Fellow Machine Learning job openings:
Postdoctoral Fellow Machine Learning jobs near you
Infographic showing various Postdoctoral Fellow Machine Learning job openings in Pennsylvania as of July 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 90% Physical, and 10% Remote job distribution.

Postdoctoral Fellow - College of Engineering - Department of Chemical Engineering

Carnegie Mellon University

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 615 rated colleges and universities

Job description

Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!
Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in chemical engineering. Today, this is more true than ever. With research thrusts across fields such as health and medicine, biofuels, air quality and more, CMU chemical engineering students are paving the way to healthier, cleaner, more efficient future for all.
The Laird research group at Carnegie Mellon University's Department of Chemical Engineering is seeking a highly motivated and talented Postdoctoral Researcher to support data analysis, application development, and research objectives.
Core Responsibilities:
  • Advancing capabilities in optimization-based conceptual design for new process development and improved process understanding.
  • Development of open-source tools for training and optimization of machine learning surrogates.
  • Interacting with multiple faculty members within the department, as well as industrial and federal project sponsors.
  • Other duties as assigned.

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
You should demonstrate:
  • Strong verbal and written communication skills
  • Strong creativity
  • Ability to work in a collaborative research environment

Qualifications:
  • Doctorate degree in Chemical Engineering or related field required.
  • 1-3 years of experience in process systems engineering and/or bioprocess modeling
  • A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PA
Job Function
Pre/Post-Doctoral Associates & Fellows
Position Type
Postdoctoral Associate / Fellow (Fixed Term)
Full Time/Part time
Full time
Pay Basis
Salary
More Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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