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Pennsylvania State University

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Postdoctoral Scholar in Machine Learning or Artificial Intelligence in Molecular and Cellular Biology Pennsylvania State University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time term postdoctoral appointment funded for one year from the date of hire, with an excellent chance for renewal based on mutual agreement and university need/performance/funding. Penn State offers a competitive benefits package for full-time employees.

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Country

United States

University

Pennsylvania State University

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Keywords

Computer Science
Data Science
Machine Learning
Molecular Biology
Biology
Predictive Modeling
Artificial Intelligence
Computational Science
Statistics

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About this position

Penn State University’s Huck Institutes of the Life Sciences and the National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) are seeking a Postdoctoral Scholar in Machine Learning / Artificial Intelligence for research at the interface of computer science, data science, statistical learning, molecular and cellular biology, and quantitative physical sciences.

The successful candidate will work with faculty and research staff at NCEMS on original research using large-scale public datasets and computational methods such as biological data harmonization, representation learning, predictive modeling, foundation models, network analysis, graph-based learning, uncertainty quantification, scientific machine learning, and interpretable AI.

This is a full-time, on-site position at the Penn State University Park campus in the United States. Remote work is not permitted. The appointment is a term position funded for one year from the date of hire, with an excellent chance of renewal depending on mutual agreement, university need, performance, and/or funding. Penn State also notes a competitive benefits package for full-time employees.

Eligibility highlights: a PhD in Computer Science, Data Science, or a closely related field; strong machine learning/AI/statistical learning background; experience with large-scale data analysis, predictive modeling, or biological discovery; Python expertise; and a publication record in peer-reviewed journals. Familiarity with molecular and cellular biology is desirable, and applicants should be independent, collaborative, and strong in communication.

How to apply: submit a single PDF application including a cover letter and CV. Current Penn State employees and students must apply through Workday internally; external applicants should use the posted application link.

Funding details

Full-time term postdoctoral appointment funded for one year from the date of hire, with an excellent chance for renewal based on mutual agreement and university need/performance/funding. Penn State offers a competitive benefits package for full-time employees.

What's required

A PhD in Computer Science, Data Science, or a closely related field is required. Applicants should have a strong foundation in machine learning, artificial intelligence, statistical learning, scientific computing, data science, or related computational approaches, plus experience developing or implementing ML methods for large-scale data analysis, predictive modeling, or biological discovery. Python expertise is expected, along with a record of scholarly output in peer-reviewed journals. Familiarity with molecular and cellular biology is desirable. Candidates should be independent self-starters with strong work ethic, interpersonal skills, written communication skills, and the ability to work collaboratively.

How to apply

Submit the application electronically as a single PDF. Include a cover letter and curriculum vitae (CV). Current Penn State employees and students must apply internally through Workday; external applicants should click Apply on the posting.

More information can be found here

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