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Postdoc Robotics Jobs in California (NOW HIRING)

Scout AI

Senior AI Researcher

Sunnyvale, CA · On-site +1

$200K - $400K/yr

  • Medical

  • Dental

  • Vision

  • PTO

PhD in Computer Science, Robotics, Machine Learning, or a related field plus 4+ years of applied research experience (industry, postdoc, or lab), or 8+ years of equivalent industry research ...

Buck Institute

Postdoctoral Researcher - Zhou lab

Novato, CA · On-site

$73K - $81K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Postdoctoral Researcher to investigate mitochondria-lysosome crosstalk in the context of aging and ... Recently, the lab has built automated research pipelines that combine liquid-handling robotics ...

Eli Lilly and Company

Advisor - Agent Research

San Diego, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and robotics to make scientific discovery intelligent, autonomous, and fast. We're seeking a ... field (industry postdoc counts) * Hands-on experience training or post-training AI models ...

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Showing results 21-40

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Postdoc Robotics information

What is the difference between Postdoc Robotics vs Research Scientist Robotics?

AspectPostdoc RoboticsResearch Scientist Robotics
Required CredentialsPhD in Robotics, Engineering, or related fieldMaster's or PhD, often with more industry experience
Work EnvironmentAcademic labs, universities, research institutionsIndustry R&D labs, tech companies, startups
Employer & Industry UsageUniversities, government research agenciesPrivate companies, industry-focused research
Common Search & Comparison IntentUnderstanding academic vs industry roles in roboticsExploring career progression from academia to industry

Postdoc Robotics positions are primarily academic roles focused on research and publishing, often requiring a PhD. Research Scientist Robotics roles are industry positions that involve applied research, product development, and innovation within companies. While both roles involve robotics research, Postdocs are more academic-oriented, whereas Research Scientists work in commercial environments with a focus on practical applications.

What are the key skills and qualifications needed to thrive as a postdoc in robotics?

To thrive as a Postdoc in Robotics, you need a PhD in robotics, computer science, electrical engineering, or a related field, along with strong research and analytical skills. Proficiency with programming languages (such as Python or C++), robotics simulation tools (like ROS or Gazebo), and experience with machine learning or control systems is typically required. Excellent problem-solving abilities, collaboration, and clear scientific communication make a candidate stand out. These skills and qualities are crucial for advancing research, publishing impactful work, and contributing to innovative robotics projects.

What is a postdoc in robotics?

Postdoc Robotics positions are advanced research roles typically held by individuals who have recently completed their PhD in robotics or a related field. These positions involve conducting independent or collaborative research focused on robotics technologies, such as autonomous systems, artificial intelligence, machine learning, or human-robot interaction. Postdoctoral researchers in robotics often work at universities, research institutes, or industry labs, contributing to scientific publications and helping to develop new technologies. The role is meant to further develop research expertise and prepare for careers in academia, industry, or government research.

What types of interdisciplinary collaboration can a postdoc in robotics expect, and how do these collaborations impact research outcomes?

As a Postdoc in Robotics, you can expect to work closely with professionals from various fields such as computer science, mechanical engineering, electrical engineering, and even biology or cognitive science, depending on the project. These interdisciplinary collaborations are crucial for addressing complex research problems, fostering innovation, and ensuring that robotic systems are both technically robust and practical for real-world applications. Effective teamwork and communication skills are essential, as you will often contribute your robotics expertise while integrating insights from collaborators to advance research outcomes and publish in high-impact journals.

What are popular job titles related to Postdoc Robotics jobs in California?

For Postdoc Robotics jobs in California, the most frequently searched job titles are:

What job categories do people searching Postdoc Robotics jobs in California look for?

The top searched job categories for Postdoc Robotics jobs in California are:

What cities in California are hiring for Postdoc Robotics jobs?

Cities in California with the most Postdoc Robotics job openings:

Postdoc Robotics jobs near you
Infographic showing various Postdoc Robotics job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Researcher - Age Rejuvenation Screening & Data Analysis

Buck Institute

Novato, CA • On-site

$80K - $100K/yr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago

Job description

POSITION SUMMARY
The Ellerby and Gerencser labs at the Buck Institute seek a Postdoctoral Researcher (PhD required) with expertise in microscopy-based image processing, machine vision, and data operations supporting high-throughput small molecule screening. The lab integrates cell biology, advanced microscopy, robotic automation, and single-cell gene expression techniques to investigate cellular function in health and aging. Current efforts focus on defining youthful and aging-related cellular phenotypes to use in high-throughput screening efforts across multiple labs at the Buck Institute.
The successful candidate will develop and apply image-analysis pipelines, integrate imaging data with internal and external databases, and contribute to collaborative projects across Buck laboratories.
PROJECT OVERVIEW
This role involves developing and implementing algorithms, automated workflows, and analytical tools for modern microscopy and high-content imaging. Projects rely heavily on AI-based and classical segmentation methods, object detection, image registration, and object tracking. The lab uses automated microscopes and a fully robotic high-throughput screening system, generating large datasets requiring scalable, automated pipelines.
The candidate will:
  • Translate biological questions into analytical strategies.
  • Build and maintain image-analysis pipelines (deep learning and classical methods).
  • Work with multiple data modalities, including compound-library databases and phenotypic profiling datasets.
  • Support small-molecule screens, cell-painting-based phenotyping, and high-content imaging workflows.
  • Contribute to automation of data acquisition and experimental design.
Training will be provided in experimental technologies, and the candidate will also participate in experiment execution and data interpretation.
QUALIFICATIONS
Essential Requirements
  • PhD in bioinformatics, computational biology, or a related field
  • Experience with biological image processing and automated/pipeline-based image analysis
  • Proficiency in Python and common scientific/imaging libraries
  • Strong data analysis, database, and biostatistics skills
  • Windows and Linux proficiency
  • Demonstrated research portfolio or publication record
  • Excellent written and oral communication skills
  • Strong time-management skills and the ability to work independently and collaboratively
Desired Skills
  • Experience with data from high-throughput small-molecule screens
  • Experience with laboratory automation and robotic systems
  • Microscopic phenotypic profiling or cell-painting experience
  • Deep-learning tools (CNNs for object detection, instance segmentation, embeddings)
  • GUI development in Python (e.g., Flask, Voila)
  • Pathway analysis or knowledge-graph-based approaches
  • Programming in R
  • Experience with programmatic prompting of large language models
Compensation & Benefits
  • Salary Range: $80,000-100,00 per year, depending on experience and qualifications
  • Dynamic research environment using state-of-the-art techniques
  • Comprehensive benefits package: health insurance, paid parental leave, childcare assistance, generous vacation/sick leave, and a 401(k) with 5% employer match
  • Highly collaborative scientific and social community
ABOUT US
The Buck Institute is dedicated to extending human healthspan by addressing the biological mechanisms of aging. As a leading independent non-profit research institute in Marin County, CA, the Buck brings together experts across multiple disciplines to prevent or delay age-related diseases, including Alzheimer’s, Parkinson’s, cancer, cardiovascular disease, and diabetes.
We are committed to fostering an inclusive, welcoming environment. We strongly encourage applicants who will contribute to the diversity of our community.
Core facilities supporting our research include Microscopy (directed by Dr. Akos Gerencser), Bioinformatics, Flow Cytometry, Single Cell Genomics, Proteomics, Metabolomics, and Mouse Phenotyping and Behavior.
TO APPLY
Please submit your CV, a cover letter describing your research interests, and contact information for 2 references. 
For Additional Information:
Professor Lisa M. Ellerby, Ph.D., and Research Associate Professor Akos Gerencser MD. Ph.D.
lellerby@buckistitute.org   
agerencser@buckinstitute.org 
 

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