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Postdoctoral Machine Learning Jobs in Pennsylvania

The Pennsylvania State University

A postdoctoral scholar position is available in the Computational Electromagnetics and Antennas ... using Machine Learning based multi-physics tools for predictive modeling, high-dimensional ...

The Pennsylvania State University

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

The Pennsylvania State University

... 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 ...

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 ...

The Pennsylvania State University

... simulation, machine learning, battery manufacturing, electrochemical systems, materials ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

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Postdoctoral Machine Learning information

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

To thrive as a Postdoctoral Machine Learning researcher, you need a strong background in machine learning theory, statistical analysis, and programming, typically supported by a Ph.D. in computer science, engineering, or a related quantitative field. Experience with Python, TensorFlow, PyTorch, and advanced data analytics tools is highly valued, as are relevant publications and experience with version control systems like Git. Strong problem-solving abilities, clear communication skills, and effective teamwork are crucial to excel in collaborative research settings. These skills and qualities are essential to drive innovative research, efficiently navigate complex datasets, and contribute to impactful scientific discoveries.

What is a postdoctoral machine learning?

A Postdoctoral Machine Learning job is a research-focused position for individuals who have recently earned a Ph.D. in machine learning, artificial intelligence, or a related field. It typically involves conducting advanced research, publishing papers, collaborating with academic or industry partners, and developing novel algorithms or models. These roles are often hosted by universities, research institutes, or tech companies. The position helps researchers gain additional expertise and contribute to cutting-edge advancements before transitioning to faculty, industry, or independent research roles.

What are the typical daily responsibilities of a postdoctoral machine learning researcher?

A Postdoctoral Machine Learning researcher typically spends their day designing and implementing machine learning algorithms, analyzing experimental results, and preparing manuscripts for publication. They often collaborate with interdisciplinary teams of scientists and engineers, attend lab meetings, and contribute to grant writing or project proposals. Regular activities also include keeping up with recent scientific literature, mentoring graduate or undergraduate students, and presenting research findings at conferences or seminars. The blend of technical development and scientific communication makes each day dynamic and offers opportunities to influence both academia and industry.

What are popular job titles related to Postdoctoral Machine Learning jobs in Pennsylvania? For Postdoctoral Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Postdoctoral Machine Learning jobs in Pennsylvania look for? The top searched job categories for Postdoctoral Machine Learning jobs in Pennsylvania are:
Postdoctoral Machine Learning jobs near you
Infographic showing various Postdoctoral Machine Learning job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Postdoctoral Scholar - Electrical Engineering Werner Group

Penn State University

University Park, PA • On-site

Full-time

Re-posted 15 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.

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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