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Control Engineer Postdoc Jobs in Cambridge, MA (NOW HIRING)

Technip Energies

Technologist I

Weymouth, MA · On-site

About Us At Technip Energies, we are more than just a leading engineering and technology company ... Postdoctoral research experience. * Experience with process modeling software such as Aspen Plus ...

Technip Energies NV

Technologist I

Weymouth, MA · On-site

About Us At Technip Energies, we are more than just a leading engineering and technology company ... Postdoctoral research experience. * Experience with process modeling software such as Aspen Plus ...

Technip Energies NV

Technologist I

East Weymouth, MA · On-site

About Us At Technip Energies, we are more than just a leading engineering and technology company ... Postdoctoral research experience. * Experience with process modeling software such as Aspen Plus ...

Tufts University

Computational Biologist

Medford, MA · On-site

$74K - $111K/yr

... and engineering approaches to understand and control biological form and function. The ... postdoctoral scholars. * Genomic and single-cell data analysis Develop and execute reproducible ...

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All JobsControl Engineer Postdoc JobsControl Engineer Postdoc Jobs in Cambridge, MA

Control Engineer Postdoc information

See Cambridge, MA salary details

$39.3K

$88.5K

$138.3K

How much do control engineer postdoc jobs pay per year?

As of Sep 8, 2026, the average yearly pay for control engineer postdoc in Cambridge, MA is $88,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $106,000.00 per year, depending on experience, location, and employer.

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 Cambridge, MA?

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

What job categories do people searching Control Engineer Postdoc jobs in Cambridge, MA look for?

The top searched job categories for Control Engineer Postdoc jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Control Engineer Postdoc jobs?

Cities near Cambridge, MA with the most Control Engineer Postdoc job openings:

Control Engineer Postdoc jobs near you
Infographic showing various Control Engineer Postdoc job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 3% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $88,532 per year, or $42.6 per hour.

Postdoctoral Research Fellow

Massgeneralbrigham

Charlestown, MA • On-site

$70K/yr

Full-time

Re-posted 20 days ago

Mass General Brigham rating

8.0

Company rating: 8.0 out of 10

Based on 348 frontline employees who took The Breakroom Quiz

90th of 898 rated healthcare providers

Job description

Site: The General Hospital Corporation


Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.


Job Summary

APPLY BY EMAIL ONLY. INSTRUCTIONS BELOW.
The Vazquez-Garcia Lab, part of Massachusetts General Hospital, Harvard Medical School, and the Broad Institute, is seeking exceptional candidates for a postdoctoral position in our interdisciplinary team.
Our lab investigates the fundamental principles of somatic evolution and immune surveillance in cancer. We use data-driven approaches to study cellular dynamics in tumors, combining AI/ML, single-cell genomics, and cellular imaging approaches with large clinical datasets and experimental models. Our research draws on multi-modal data from basic science and clinical practice to understand how genomic adaptations confer selective advantages to tumor cells, act as biomarkers of therapeutic response and resistance, and sensitize tumors for targeted intervention. Our ultimate goal is to impact human health and clinical care for patients, leveraging our understanding of cancer trajectories to enable biomarkers and therapeutic strategies that anticipate and overcome tumor progression.
You will join a highly collaborative and interdisciplinary group committed to tackle challenging problems in computational oncology. You will work on independent research projects within the lab, and actively collaborate with colleagues across MGH, HMS, the Broad Institute and other institutions. You will be part of a vibrant scientific community and will have access to state-of-the-art computational resources and high-throughput genomics technologies.
The main responsibilities will include but not be limited to:
Design, train, and evaluate cutting-edge AI and statistical models using large patient datasets.
Build robust pipelines for large-scale data processing and benchmarking across modalities.
Collaborate closely with cancer biologists, clinicians, and other computational researchers to generate testable hypotheses and interpret findings.
Perform exploratory research in a fast-paced setting with the potential for real impact on patients.
Contribute to the development of high-quality, reusable, open-source software.
Publish research in top-tier journals and present at major conferences.
Help foster a collaborative lab environment by advising and supporting junior team members.


Qualifications

Minimum qualifications:

  • Ph.D. (or near completion) in a relevant field such as Computational Biology, Computer Science, Physics, Mathematics, Statistics, or a related quantitative discipline.

  • Demonstrated proficiency in Python, R and/or other scientific computing languages.

  • Proven track record of productivity through peer-reviewed publications.

  • Excellent written and verbal communication skills.

  • Ability to work independently and as part of a collaborative team.

  • Strong organizational skills and attention to detail.

Preferred experience:

  • Proven experience working with high-dimensional, multi-modal omics data and clinical data.

  • Strong background in advanced statistical modeling and/or modern machine learning approaches (e.g. transformers, foundation models, generative modeling, interpretable AI).

  • Knowledge of cancer biology, immunology, or molecular biology.

  • Familiarity with cloud computing and workflow management (e.g., Nextflow, Snakemake).

  • Experience with version control and software engineering practices.

  • Interest in contributing to open-source bioinformatics software.

IMPORTANT - APPLICATION INSTRUCTIONS

Please do not apply through the Workday "Apply" button.

This position is being posted for informational purposes only. To be considered, please submit the following directly to the hiring manager by clicking the link below:

  • CV/resume

  • Representative publications or preprints

  • Statement of prior research and future interests

  • Contact information for three references

[Click Here to Email Your Application]

Please note: Applications submitted through Workday will not be forwarded to the hiring manager and may not be reviewed.

Learn more: https://vazquezgarcialab.mgh.harvard.edu/


Additional Job Details (if applicable)

The salary range for this position is $70,000 to $ 71,750 annually.


Remote Type

Onsite


Work Location

149 Thirteenth Street Building 149


EEO Statement:

1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.


Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

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