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Machine Learning Postdoc Jobs in Pennsylvania (NOW HIRING)

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 ...

Merck & Co.

$47K - $64K/yr

In this role, you will use advanced analytic methods (including machine learning and -omics ... As a Postdoctoral Research Fellow, you will work with a dedicated mentor team and collaborate, both ...

The Pennsylvania State University

... Postdoctoral Scholar position within the SHINElab (Smart Human-centered built eNvironmEnt lab for ... Coding and AI/machine learning strategy development - with the ability to design, implement, and ...

New

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 ...

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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.

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Postdoctoral Scholar - Electrical Engineering Werner Group

Postdoctoral Scholar - Electrical Engineering Werner Group

The Pennsylvania State University

Full-time

Posted 13 days ago

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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About Pennsylvania State University

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Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

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11 - 50 Employees

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University Park, PA, US

Year founded

1855

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