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Machine Learning Postdoc Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

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

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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Machine Learning Postdoc information

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.

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:
What are popular job titles related to Machine Learning Postdoc jobs in Pennsylvania? For Machine Learning Postdoc jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Machine Learning Postdoc jobs in Pennsylvania look for? The top searched job categories for Machine Learning Postdoc jobs in Pennsylvania are:
Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in Pennsylvania as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 26% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.
Post Doctoral Associate

Post Doctoral Associate

University of Pittsburgh

Pittsburgh, PA

Other

Posted 25 days ago

Job description

The University of Pittsburgh School of Medicine's Department of Dermatology is recruiting Postdoctoral Associates with interests in Bioengineering. This is an exciting opportunity for individuals who thrive in an interesting, challenging, and highly collaborative work environment.  Postdoctoral Associates will contribute to the department by focusing on developing clinically translatable biomedical technologies for skin vaccination and wearable diagnostics, as well as by validating these new technologies using human skin models and in vivo animal models. 

The Postdoctoral Associates will carry out advanced independent and/or directed research to achieve the objectives of the research projects. They will work in multiple multidisciplinary projects and will have opportunities to collaborate with distinguished teams of PIs and other postdoctoral associates. They will help mentor junior trainees in related areas and assist in the management of resources and equipment used in engineering and in vitro and in vivo characterization of these next-generation skin-targeted biomedical technologies. 

Qualifications:

        Design, manufacturing, and structural, electrical, and biological evaluation of biomedical technologies.

      PhD in Biomedical Engineering, Mechanical Engineering, Materials Science and Engineering, or a related field. 

      Expertise in biomimicry, biofabrication techniques, biomaterials, biosensors, wearable electronics, and machine learning. 

      Experience in mechanical and rheological testing of biodegradable materials.

      Experience in working with mouse models, cell and tissue cultures, cellular biology, and qPCR, ELISA and Flow Cytometry-based assays.  

      A publication record in peer-reviewed journals.

      Strong analytical skills.

      Excellent written and verbal communication skills. 

      A proven track record of designing, conducting, and analyzing impactful research experiments.

Responsibilities: 

      Design, manufacturing, and structural, electrical, and biological evaluation of biomedical technologies.

      Conduct research experiments and animal studies within the predetermined research scope and methodology.

      Collect, analyze, and interpret data.

      Assist in mentoring junior trainees working in the projects. 

      Attend weekly meetings to discuss the research plan and progress. 

      Prepare quarterly reports on the progress of the projects, including written documents and presentation slides. 

      Write papers and proposals. 

      Other tasks as identified pertaining to satisfying the project goals. 

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