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Machine Learning Postdoc Jobs in Pennsylvania (NOW HIRING)

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

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 ...

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

Expertise with Machine Learning Potentials * Expertise with quantum chemical methods BACKGROUND ... 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 ...

Showing results 21-40

Machine Learning Postdoc information

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 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 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 August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution.

Postdoctoral Research Associate - Yttri Lab

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Re-posted 24 days ago


Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

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Job description

Description
The Yttri lab at Carnegie Mellon University is looking for a talented postdoctoral associate to interrogate the circuit dynamics underlying naturalistic behavior. Building off our unsupervised algorithm for segmenting behaviors from video (Hsu and Yttri, Nature Communications), we are looking to explore the interactions between multiple brain areas over long time scales (weeks) as mice navigate their arena and/or learn new tasks. Several avenues are open to research, including interrogation of timescales of representation, plasticity, and circuit dynamics in normal mice and disease models. Eric and the lab are committed to building a supportive community for inquiry and curiosity that foster members to become better scientists and people.
Qualifications
PhD or MD, background in neuroscience or statistical methods. Background in population-level analysis of neural data and/or basic machine learning principles required, but needn't have been applied to rodent studies.
Application Instructions
Applications, including a cover letter and a curriculum vitae indicating your interest and relevant training should be submitted electronically via Interfolio.

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