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Control Engineer Postdoc Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

... programming software and languages (e.g. SAS, STATA, or R) Excellent attention to detail Applied ... control of data collection, and alerting PIs as needed Substantial scholarly writing and ...

The Pennsylvania State University

The role supports faculty, research staff, postdoctoral scholars, and students, enabling ... Monitor spending and work with Huck and College of Engineering staff to reconcile financial ...

The Pennsylvania State University

... control. Successful candidates are expected to have an established track record of successful ... College of Agricultural Sciences, College of Engineering, College of Health and Human Development ...

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Control Engineer Postdoc information

What is a control engineer postdoc?

Control Engineer Postdocs are researchers with a Ph.D. who specialize in the design, analysis, and implementation of control systems. They work in academic or industrial research settings, often focusing on advancing knowledge in areas like automation, robotics, or process control. Their responsibilities include conducting experiments, developing new algorithms or methods, publishing research findings, and sometimes mentoring students. This position is typically a temporary role intended to further develop expertise before pursuing a permanent academic or industry position.

What are the key skills and qualifications needed to thrive as a control engineer postdoc?

To thrive as a Control Engineer Postdoc, you need an advanced degree (PhD) in control engineering or a related field, with strong expertise in systems modeling, control theory, and applied mathematics. Proficiency in simulation tools such as MATLAB/Simulink and experience with programming languages like Python or C++, as well as familiarity with hardware-in-the-loop and embedded systems, are typically required. Strong problem-solving skills, effective communication, and the ability to work independently and collaboratively make a candidate stand out. These skills and qualities are critical for conducting advanced research, developing innovative control solutions, and contributing to interdisciplinary projects.

What are some common challenges faced by control engineer postdocs when transitioning from academia to industry-focused projects?

One common challenge for Control Engineer Postdocs moving into industry-oriented projects is adapting to faster-paced development cycles and stricter project deadlines. Unlike academic research, industry projects often require practical, scalable solutions rather than theoretical proofs. Additionally, postdocs may need to collaborate closely with multidisciplinary teams, including software developers, product managers, and hardware engineers, making strong communication and teamwork skills essential. This transition also often involves working with proprietary tools and adhering to industry standards, which may require additional training.

What is the difference between Control Engineer Postdoc vs Control Engineer?

AspectControl Engineer PostdocControl Engineer
Required CredentialsPhD in Engineering or related field, research experienceBachelor's or Master's in Engineering, professional experience
Work EnvironmentAcademic research labs, universitiesIndustrial settings, manufacturing, automation companies
Employer & Industry UsageUniversities, research institutionsManufacturing firms, tech companies
Common Search & ComparisonResearch-focused roles, academic positionsIndustry-focused roles, engineering positions

The main difference between a Control Engineer Postdoc and a Control Engineer lies in their focus and work environment. A Control Engineer Postdoc is primarily involved in academic research, requiring a PhD and working in universities or research labs. In contrast, a Control Engineer typically works in industry, applying engineering principles in manufacturing or automation settings. Both roles require a strong background in control systems, but their career paths and work environments differ significantly.

What are popular job titles related to Control Engineer Postdoc jobs in Pennsylvania?

For Control Engineer Postdoc jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Control Engineer Postdoc jobs in Pennsylvania look for?

The top searched job categories for Control Engineer Postdoc jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Control Engineer Postdoc jobs?

Cities in Pennsylvania with the most Control Engineer Postdoc job openings:

Control Engineer Postdoc jobs near you
Infographic showing various Control Engineer Postdoc job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Post Doctoral.Post Doctoral.Associate

University of Pittsburgh

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Re-posted 22 days ago

Job description

Postdoctoral Associate in AI-Driven Omics Analysis and Drug Discovery at the Vascular Medicine Institute, Department of Medicine, School of Medicine, University of Pittsburgh 

The Vascular Medicine Institute at the University of Pittsburgh is seeking a highly motivated postdoctoral associate to join a computational research program focused on AI-driven omics analysis, systems biology, and therapeutic discovery. The successful candidate will develop and apply computational and deep learning approaches to understand how complex biological stressors drive molecular, cellular, and organ dysfunction, and to identify therapeutic strategies for disease treatments. The project will involve large-scale analysis and integration of transcriptomics, single-cell RNA-seq, and other omics modalities.

Our research group operates at the intersection of computational biology, systems medicine, and translational science within the Vascular Medicine Institute. We focus on integrating large-scale omics data with mechanistic modeling to uncover systemic drivers of disease. This position provides a unique opportunity to develop broadly applicable computational frameworks for understanding organ dysfunction and therapeutic intervention.

Major duties:

  • Develop and apply AI/deep learning models for omics-based disease mechanism discovery and therapeutic prediction.
  • Analyze and integrate high-throughput omics datasets, including bulk RNA-seq, single-cell/nuclei RNA-seq, epigenomics, proteomics, metabolomics, and genomics.
  • Develop and refine drug-repurposing and target-prioritization algorithms using disease signatures, perturbation datasets, signaling networks, and drug-target databases.
  • Build computational pipelines for preprocessing, quality control, harmonization, and integration of public and internal omics datasets.

Minimum Requirements for the candidate:

  • PhD in statistical learning, computational biology, systems biology, data science, or a related quantitative discipline.
  • Fluency in Python programming language
  • Experience with high-throughput omics data analysis
  • Strong foundation in statistics, machine learning, mathematics, and biological data interpretation

Interested applicants should apply via join.pitt.edu Requisition #26003687

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