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Temporary Machine Learning Postdoc Jobs in Pittsburgh, PA

We are seeking a highly motivated and talented research scientist working in machine learning (ML ... postdoctoral research or impactful projects. * Proficiency in ML and AI programming written in ...

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Temporary Machine Learning Postdoc information

What is a temporary machine learning postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What skills and qualifications are needed to thrive as a temporary machine learning postdoc?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a temporary machine learning postdoc expect to engage in?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are the most commonly searched types of Machine Learning Postdoc jobs in Pittsburgh, PA?

The most popular types of Machine Learning Postdoc jobs in Pittsburgh, PA are:

What are popular job titles related to Temporary Machine Learning Postdoc jobs in Pittsburgh, PA?

For Temporary Machine Learning Postdoc jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning Postdoc jobs in Pittsburgh, PA look for?

The top searched job categories for Temporary Machine Learning Postdoc jobs in Pittsburgh, PA are:

Faculty.Professor.Research Assistant - Full-Time

Pittsburgh, PA • On-site

University of Pittsburgh
Colleges, Universities, and Professional Schools • 10K+ employees

Full-time

Re-posted 7 days ago


Job description

Research Assistant Professor (Non-Tenure Track) - Cutaneous Bioengineering Department of Dermatology, University of Pittsburgh School of Medicine
Advance skin-targeted biomedical technologies at the engineering-dermatology interface! The University of Pittsburgh School of Medicine's Department of Dermatology invites applications for a Research Assistant Professor (non-tenure track / appointment stream) with strong interests in cutaneous bioengineering. This is an exciting opportunity to join a dynamic, interdisciplinary, and highly collaborative research environment focused on developing clinically translatable biomedical technologies for skin-targeted applications.
The successful candidate will contribute to cutting-edge projects centered on skin-targeted platforms and wearable diagnostic technologies to monitor and regulate systemic immunity. Research is highly translational, integrating engineering, biology, and clinical insights, with validation using advanced human skin models and in vivo animal models.
Key Responsibilities
    Design, fabricate, and evaluate biomedical technologies, including structural, electrical, and biological characterization
    Conduct advanced directed research to achieve project objectives
    Develop clinically translatable technologies for skin vaccination and wearable diagnostics
    Perform in vitro and in vivo validation using human skin models and animal models
    Collect, analyze, and interpret experimental data with scientific rigor
    Assist in preparation of publication-quality figures, manuscripts, grant or proposal materials, and quarterly progress reports (including written summaries and presentation slides)
    Present research findings at laboratory meetings, departmental seminars, scientific conferences, and weekly project meetings
    Support management of laboratory resources, equipment, and shared research infrastructure
    Collaborate with multidisciplinary teams of principal investigators, postdoctoral fellows, and trainees
    Apply strong project management skills to track deliverables, manage timelines, and ensure compliance with reporting requirements
    Excellent communication skills for technical reporting, presentations, and stakeholder engagement
    Exercise advanced problem solving to anticipate risks, develop mitigation strategies, and adapt to evolving technical challenges
    Perform other duties as assigned in support of overall project goals
Required Qualifications and Skills
    PhD in Biomedical Engineering, Mechanical Engineering, Materials Science and Engineering, or a closely related field
    Postdoctoral training with demonstrated progression in research management and productivity
    Strong record of peer-reviewed publications in biomedical engineering or related fields
    Demonstrated experience in the design, manufacturing, and evaluation of biomedical technologies
    Expertise in one or more of the following areas: biomimicry, biofabrication techniques, biomaterials, biosensors, wearable electronics, and machine learning
    Experience with mechanical and rheological testing of biodegradable or soft materials
    Hands-on experience working with mouse models, human tissue models, and cellular biology techniques
    Proficiency with molecular and immunological assays, including qPCR, ELISA, and flow cytometry
    Evidence of strong analytical, problem-solving, and data interpretation skills
    Excellent written and verbal communication skills


Join us in advancing next-generation skin-targeted biomedical technologies!
Interested candidates should apply at http://join.pitt.edu Requisition #26002669. The University of Pittsburgh is an Affirmative Action/ Equal Opportunity Employer and values equality of opportunity, human dignity, and diversity, EOE, including disability/vets.


Applications should include the following: 
    Cover letter describing research interests and relevant experience
    Curriculum vitae
    Research interest statement (1-2 pages)
    Contact information for 3-5 professional references