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Control Engineer Postdoc Jobs in California (NOW HIRING)

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What are the key skills and qualifications needed to thrive as a Control Engineer Postdoc, and why are they important?

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 are Control Engineer Postdocs?

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 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 California? For Control Engineer Postdoc jobs in California, the most frequently searched job titles are:
What job categories do people searching Control Engineer Postdoc jobs in California look for? The top searched job categories for Control Engineer Postdoc jobs in California are:
What cities in California are hiring for Control Engineer Postdoc jobs? Cities in California with the most Control Engineer Postdoc job openings:
Control Engineer Postdoc jobs near you
Infographic showing various Control Engineer Postdoc job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Scientist or Postdoctoral Researcher-Furman Lab

Buck Institute for Research on Aging

Novato, CA • On-site

$125K - $140K/yr

Full-time

Posted 8 days ago

Job description

Computational Biology & Aging / Bioinformatics Core Co-Director
Location: Novato, CA
Position Type: Full-time, onsite required
Salary Range: $125,000-$140,000, depending on experience
About the Opportunity
The Furman Lab at the Buck Institute for Research on Aging invites applications for a Senior Scientist or Postdoctoral Researcher to join a newly initiated, five-year government-funded research program focused on understanding the mechanisms of aging and developing interventions to extend healthspan. This is an exceptional opportunity to contribute to large-scale, multi-institutional science at one of the world's foremost dedicated aging research institutes.
In addition to their research role within the project, the successful candidate will serve as Co-Director of the Buck Institute's Bioinformatics and Data Science Core, playing a central role in expanding the Core's capacity, service offerings, and scientific impact across the Institute.
Primary Responsibilities
  • Develop and apply computational pipelines for the analysis of large-scale multi-omics datasets, including genomic, transcriptomic, epigenomic, and proteomic data, in the context of aging research.
  • Build and refine integrative models of biological aging using longitudinal cohort and experimental data generated within the project consortium, including AI/ML-based approaches.
  • Collaborate closely with experimental and clinical investigators to translate biological questions into rigorous analytical frameworks.
  • Contribute to the design of computational strategies for cross-platform data harmonization, quality control, and reproducible analysis.
  • Serve as Co-Director of the Bioinformatics and Data Science Core, providing analytical consultation and support to Buck Institute investigators.
  • Help define Core priorities and participate in efforts to grow the Core's scientific and operational capacity.
  • Mentor junior trainees and research staff in computational methods and best practices.
  • Contribute to manuscripts, grant reports, and presentations disseminating project findings to the broader scientific community.
Qualifications
Senior Scientist Level
Candidates for the Senior Scientist level should have:
  • Ph.D. in bioinformatics, computational biology, biostatistics, systems biology, or a related discipline, with substantial postdoctoral or equivalent experience.
  • Demonstrated record of independent research, as evidenced by peer-reviewed publications in high-quality journals.
  • Proven expertise in the analysis of next-generation sequencing data, such as RNA-seq, ATAC-seq, single-cell omics, whole-genome sequencing, or whole-exome sequencing.
  • Experience leading or co-leading collaborative research projects and mentoring trainees.
Postdoctoral Researcher Level
Candidates for the Postdoctoral Researcher level should have:
  • Ph.D. in bioinformatics, computational biology, biostatistics, or a closely related field, awarded within the past five years or expected imminently.
  • Strong analytical foundation with demonstrated proficiency in multi-omics data analysis, including published or preprint research.
  • Enthusiasm for developing an independent research program within a collaborative and highly supportive environment.
Required Technical Skills
  • Proficiency in one or more scientific programming languages, such as Python or R.
  • Fluency with standard bioinformatics toolkits, such as Bioconductor, Seurat, Scanpy, GATK, STAR, or DESeq2.
  • Experience training, validating, diagnosing, and fine-tuning machine learning models, preferably multimodal models.
  • Familiarity with statistical methods for multi-omics data integration, dimensionality reduction, and biological network analysis.
  • Commitment to rigorous, reproducible, versioned, and well-documented computational research practices.
Preferred Qualifications
  • Prior research experience in aging biology, geroscience, or the analysis of aging-related cohorts or model organism datasets.
  • Experience with epigenomic clock methodologies, biological age estimation, or related computational frameworks.
  • Experience integrating heterogeneous data, electronic health records, or large clinical datasets.
  • Familiarity with multi-step agentic workflows, retrieval-augmented generation, and vector search methods.
  • Experience with high-performance computing environments and workflow management systems.
  • Familiarity with cloud computing platforms, such as AWS, Google Cloud, or equivalent, for large-scale data analysis.
  • Experience contributing to or directing a bioinformatics core or shared resource facility.
About the Buck Institute
The Buck Institute for Research on Aging is a world leader in aging research, with a mission to end the threat of age-related disease. The Institute brings together scientists from diverse disciplines to understand the biology of aging and translate discoveries into interventions that promote longer, healthier lives.
The Buck Institute is an equal opportunity employer and welcomes applications from candidates of all backgrounds. We are committed to creating an inclusive environment for all employees.
To Apply
Interested candidates should submit a curriculum vitae and cover letter briefly describing their research experience, computational expertise, interest in aging biology and the Bioinformatics and Data Science Core Co-Director role.

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