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Machine Learning Postdoc Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

... Postdoctoral Researcher positions to work with Professor Jimmy DeLaunay and collaborators. The ... Experience with HPC systems, machine learning, and GRB monitor data analysis would be an advantage.

CSTB

Ce postdoc a pour objectif d'etendre les travaux du post doc precedant : Explorer les sujets ... les taches aval de machine learning telles que: prediction de typologies de batiment ...

The Pennsylvania State University

$48K - $65K/yr

... and Machine Learning in the following computational and data driven discovery areas: * Earth ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

The Pennsylvania State University

POSITION SPECIFICS The Department of Electrical Engineering is looking for a Postdoctoral Scholar ... of power systems, machine learning, cybersecurity, renewable energy, microgrids, hands-on ...

The Pennsylvania State University

The Eberly College of Science, Department of Physics LIGO group is seeking to fill a postdoctoral ... machine learning. Exemplary software engineering skills are also required.Most importantly we are ...

The Pennsylvania State University

... machine learning methods. * Prepare peer-reviewed publications, technical reports, presentations ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

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Machine Learning Postdoc information

What is a machine learning postdoc?

A Machine Learning Postdoc is a research-focused position typically held after earning a Ph.D. in a related field. It involves conducting advanced research in machine learning, developing new algorithms, and publishing in top-tier conferences and journals. Postdocs often collaborate with faculty, industry partners, and other researchers to advance the state of the art in AI. The role may include mentoring students and contributing to grant proposals. It serves as a bridge between doctoral studies and a long-term academic or industry research career.

What are the typical responsibilities and collaborative aspects of a machine learning postdoc?

A Machine Learning Postdoc typically conducts original research, develops and tests new algorithms, and contributes to academic publications or patent applications. Daily tasks often involve data analysis, model building, and experimentation using advanced computational tools. Collaboration is key in this role, as postdocs frequently work alongside faculty, graduate students, and external industry partners to advance research objectives. Additionally, they may mentor junior researchers or students, present at conferences, and participate in grant writing or project planning. This mix of independent research and team collaboration fosters both professional growth and impactful scientific advancements.

What are the key skills and qualifications needed to thrive in a machine learning postdoc position?

To thrive as a Machine Learning Postdoc, you need a deep understanding of machine learning algorithms, statistical modeling, and research methodology, typically supported by a completed PhD in a related field. Proficiency with programming languages like Python or R, experience with ML libraries (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are important. Strong analytical thinking, effective communication, and the ability to collaborate across multidisciplinary teams are standout soft skills in this position. These qualifications ensure innovative research contributions, successful project execution, and effective dissemination of findings in both academic and applied settings.

What are the most commonly searched types of Machine Learning Postdoc jobs in Pennsylvania?

The most popular types of Machine Learning Postdoc jobs in Pennsylvania are:

What are popular job titles related to Machine Learning Postdoc jobs in Pennsylvania?

For Machine Learning Postdoc jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Machine Learning Postdoc jobs in Pennsylvania look for?

The top searched job categories for Machine Learning Postdoc jobs in Pennsylvania are:

Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in Pennsylvania as of September 2026, with employment types broken down into 100% Full Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution.

Postdoctoral Scholar in the Department of Mechanical Engineering

University Park, PA • On-site

Penn State University
Colleges, Universities, and Professional Schools • 51 - 200 employees
Learn more about Penn State Universityexternal

Full-time

Re-posted 2 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

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Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
The Department of Mechanical Engineering at Penn State is seeking a Postdoctoral Scholar. The successful candidate will work under the supervision of Dr. Xiang Yang.
Job Duties:
  • Conduct research on turbulence modeling for compressible and high-speed flows
  • Develop progressive flow-physics-learning and machine-learning methods
  • Perform CFD simulations, model calibration, and model-form error analysis
  • Benchmark turbulence models and existing compressibility corrections
  • Verify and validate models using canonical and application-relevant flows
  • Document results in reports, presentations, software, and publications

Qualifications and Requirements:
  • Ph.D. or equivalent doctorate in mechanical/aerospace engineering or a related field by the appointment date
  • Research experience in computational fluid dynamics and turbulence modeling
  • Knowledge of compressible/high-speed flow physics and numerical methods
  • Experience with scientific programming and high-performance computing
  • Doctorate completed before start; appointment contingent on work authorization

Interested applicants should submit a cover letter describing their interest in the position and relevant experience, a CV including a publication list, and the names and contact information of up to three references.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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