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Machine Learning Postdoc Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

The postdoc will work on topics broadly related to direct and indirect probes of physics beyond the ... Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy ...

The Pennsylvania State University

D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

Merck & Co.

Be a part of the legacy: Postdoctoral Research Fellow ProgramOur Research Laboratories ... or machine learning,Strong programming skills in Python and/or C++, with experience in model ...

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Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive in the Machine Learning Postdoc position, and why are they important?

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 is a Machine Learning Postdoc job?

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 position?

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 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 July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.
Postdoctoral Scholar - Mechanical Engineering

Postdoctoral Scholar - Mechanical Engineering

Penn State University

University Park, PA • On-site

Full-time

Posted 29 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

225th of 612 rated colleges and universities

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 The Pennsylvania State University is seeking a Postdoctoral Scholar in Battery Mechanics, Physics-Based AI, and Energy Storage Manufacturingunder the direction of Dr. Jun Xu.
The postdoctoral researcher will work on fundamental and applied research at the intersection of battery mechanics, electrochemical-mechanical-thermal modeling, physics-based artificial intelligence, advanced battery manufacturing, battery prognostics, and battery recycling. The successful candidate is expected to develop rigorous modeling, computational, and/or experimental approaches to understand the coupled behaviors of next-generation energy storage systems and to translate fundamental insights into high-impact publications, proposals, and collaborative research outcomes.
Research Areas:
The position will focus on one or more of the following areas:
  • Physics-based AI for battery manufacturing and mobility
  • Fundamental electrochemo-mechanical modeling of next-generation batteries
  • Degradation, failure, and safety and sustainability of lithium-ion, lithium-metal, sodium-ion, and solid-state batteries

Job Duties:
  • Conduct independent and collaborative research under the supervision of Dr. Jun Xu
  • Develop high-quality models, algorithms, experiments, or integrated modeling-characterization frameworks
  • Publish first-author papers in leading peer-reviewed journals
  • Contribute to research proposals, project reports, and presentations
  • Mentor graduate and undergraduate students in the research group
  • Collaborate with academic, national laboratory, and industrial partners
  • Maintain high standards of research rigor, reproducibility, and professional integrity

Qualifications and Requirements:
  • A Ph.D. degree in Mechanical Engineering, Solid Mechanics, Materials Science and Engineering, Chemical Engineering, Applied Physics, Energy Science, or a closely related field by the start date
  • Strong research background in at least one of the following areas: battery modeling, solid mechanics, multiphysics simulation, machine learning, battery manufacturing, electrochemical systems, materials characterization, or computational mechanics
  • A strong publication record, preferably including at least three first-author or co-first-author papers in high-quality peer-reviewed journals
  • Excellent written and oral communication skills
  • Strong self-motivation, independence, responsibility, and commitment to academic research

Interested applicants should send the following materials as a single PDF file:
  • Curriculum vitae
  • Brief research statement describing prior research experience and future research interests
  • Representative publications
  • Contact information for three references
  • Expected start date

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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