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Machine Learning Postdoc Jobs in Pennsylvania (NOW HIRING)

... postdoctoral or equivalent research experience demonstrating an independent record of publication in applied machine learning, computer vision, and/or scientific data analysis. Experience with one or ...

A strong background in artificial intelligence, machine learning, computational science, data ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

... Postdoctoral Scholar beginning January 2027. The successful candidate will work with Professor ... methods in machine learning.These include applications of Random Matrix theory and Gaussian ...

Expertise with Machine Learning Potentials * Expertise with quantum chemical methods Interested ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

Develop progressive flow-physics-learning and machine-learning methods * Perform CFD simulations ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

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 ...

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 ...

Showing results 21-40

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:

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 - Electrical Engineering Werner Group

University Park, PA • On-site

Penn State University
Colleges, Universities, and Professional Schools • 51 - 200 employees

Full-time

Re-posted 15 days ago


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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.

JOB DESCRIPTION AND POSITION REQUIREMENTS:
Job Description
A postdoctoral scholar position is available in the Computational Electromagnetics and Antennas Research Laboratory (CEARL) in the Electrical Engineering Department at The Pennsylvania State University. This position involves the development and application of numerical analysis approaches using Machine Learning based multi-physics tools for predictive modeling, high-dimensional optimization, uncertainty quantification, forward and inverse design, including the development of Digital Twin components, under the supervision of Prof. Douglas H. Werner. The objective of this work will be to support a large multidisciplinary team effort focused on the design, modeling, and fabrication of advanced RFIC Phased Array Antenna Systems (Ka-Band and W-Band) and associated Power Converters. The postdoctoral scholar is expected to work in a highly collaborative environment in which electrical engineers, mechanical engineers, material/data scientists, and thermal engineers will collaborate to develop the next generation of microelectronics manufacturing.
Requirements
Applicants must have a PhD in electrical engineering by the start date with a strong focus in electromagnetics. The candidates must have expertise in computational electromagnetics, RFIC phased array antenna design, and machine learning.
This is a term appointment funded for one year from the date of hire, with additional years of funding available if there is mutual interest. To apply, please submit an online application, a CV, and contact information of three references.
Penn State is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission.
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.
Employment with the University will require successful completion of background check(s) in accordance with University policies.
EEO IS THE LAW
Penn State is an equal opportunity, affirmative action 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.
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