ZipRecruiter

Log In

1

Postdoctoral In Reinforcement Learning Jobs in Taunton, MA

NorthEastern

Postdoctoral Research Fellow

Boston, MA

$60K - $85K/yr

This position will be based in the Social Development and Wellbeing Lab led by Dr. Alexandra Rodman ... learning, emotion, or motivational processes). Applicants can explore basic characterization of ...

NorthEastern

Postdoctoral Research Associate

Boston, MA

$60K - $85K/yr

About the Opportunity Conduct research on machine learning, control theory, and synthetic biology ... The ideal candidate will have a strong foundation in dynamical systems, control theory, systems ...

previous pagenext page

Showing results 21-40

All JobsPostdoctoral In Reinforcement Learning JobsPostdoctoral In Reinforcement Learning Jobs in Taunton, MA

Postdoctoral In Reinforcement Learning information

See Taunton, MA salary details

$25.6K

$60.5K

$85.6K

How much do postdoctoral in reinforcement learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for postdoctoral in reinforcement learning in Taunton, MA is $60,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,200.00 and $68,200.00 per year, depending on experience, location, and employer.

What is a postdoctoral researcher in reinforcement learning?

A Postdoctoral Researcher in Reinforcement Learning is an individual who has completed a PhD and conducts advanced research in the field of reinforcement learning, a branch of artificial intelligence focused on how agents take actions in environments to maximize rewards. These researchers often work in academic, industrial, or governmental research settings, collaborating on projects that advance the theoretical foundations or practical applications of reinforcement learning. Their responsibilities may include designing experiments, developing algorithms, publishing papers, and mentoring graduate students.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in reinforcement learning?

To thrive as a Postdoctoral Researcher in Reinforcement Learning, you need a PhD in computer science or a related field, with deep expertise in machine learning, statistics, and algorithm development. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with reinforcement learning libraries are typically required. Strong analytical thinking, problem-solving ability, collaboration, and scientific communication skills help you excel in research teams and publish impactful work. These competencies are vital to advancing state-of-the-art research, developing novel algorithms, and contributing to the academic and industrial progress in AI.

What are some common challenges faced by postdoctoral researchers in reinforcement learning, and how can they be addressed?

Postdoctoral researchers in reinforcement learning often face challenges such as balancing independent research projects with collaborative work, staying up-to-date with rapidly evolving literature, and managing the pressure to publish in top conferences. Effective time management, regular engagement with the research community through seminars and workshops, and seeking mentorship from senior colleagues can help address these challenges. Additionally, collaborating with interdisciplinary teams can offer fresh perspectives and support, making it easier to navigate complex research problems.

What is the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?

AspectPostdoctoral In Reinforcement LearningPostdoctoral In Machine Learning
Required CredentialsPhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learningPhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning
Work EnvironmentAcademic labs, research institutions, industry R&D teams focused on reinforcement learning applicationsAcademic labs, research institutions, industry R&D teams working on various machine learning techniques
Industry UsagePrimarily in AI research, robotics, gaming, and autonomous systemsBroader applications including data analysis, predictive modeling, and AI research

Postdoctoral In Reinforcement Learning specializes in research related to decision-making algorithms and autonomous systems, whereas Postdoctoral In Machine Learning covers a wider range of AI techniques. Both roles require similar credentials but differ in focus and application areas.

What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Taunton, MA look for?

The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Taunton, MA are:

Postdoctoral In Reinforcement Learning jobs near you
Infographic showing various Postdoctoral In Reinforcement Learning job openings in Taunton, MA as of June 2026, with employment types broken down into 60% Full Time, 35% Part Time, and 5% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $60,528 per year, or $29.1 per hour.

Postdoctoral Research Associate

NorthEastern

Boston, MA

$60K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

About the Opportunity

This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.


JOB SUMMARY

The Center for the Future of Higher Education and Work seeks a Postdoctoral Research Associate to lead the research operations of The Future of Higher Education and Work at Northeastern University: Personalized Learning for Students and Customized Career Preparation, a study funded by the Davis Educational Foundation. The project tests whether real-time assessment and feedback during cooperative education placements accelerate students' development of durable skills - critical thinking, problem-solving, collaboration - using a pre/post design with approximately 300 co-op students, paired with structured employer interviews and a library of just-in-time learning interventions. The Postdoctoral Associate will work under the Principal Investigators (Constance Yowell, Sasha Goldman, and Christine Bolzan) and alongside external collaborators with substantial latitude to shape the analytic approach and to lead publications and conference presentations from the pilot data.


MINIMUM QUALIFICATIONS

  • PhD in education, sociology, psychology, measurement/assessment, public policy, or a related field, completed by the start date or within six months of hire
  • Demonstrated quantitative research skills, including experience with longitudinal or pre/post designs and proficiency in R, Python, Stata, or SPSS
  • Experience with survey administration (Qualtrics or equivalent) and rigorous data management practices
  • Record of scholarly writing and evidence of the ability to communicate findings to non-academic audiences

PREFERRED QUALIFICATIONS

  • Qualitative interviewing and coding experience (NVivo, Dedoose, or Atlas.ti)
  • Background in higher education, work-integrated learning, cooperative education, or workforce development
  • Experience managing IRB protocols

KEY RESPONSIBILITIES & ACCOUNTABILITIES

The level and mixture of the duties may vary by position but typically include a combination of the following responsibilities.


  • Lead design and administration of the pre/post competency assessment pilot across participating colleges, including instrument selection, administration windows aligned to the six-month co-op cycle, and participation tracking
  • Administer assessments and manage the merging, cleaning, and quality control of survey, assessment, and administrative data
  • Conduct quantitative analysis of skill growth and produce findings for research, practitioner, and funder audiences
  • Serve as day-to-day research liaison to assessment partners and collaborators at UC Irvine
  • Maintain IRB protocols, the data management plan, and study documentation
  • Lead drafting of the Davis Educational Foundation interim report (due February 28, 2027) and final report (due August 31, 2027)
  • Author and co-author manuscripts, briefs, and conference presentations; support dissemination through practitioner networks

This is a grant-funded appointment through July 31, 2027, renewal is contingent on funding and satisfactory performance.

Position Type

Research

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Compensation Grade/Pay Type:

108S

Expected Hiring Range:

$60,315.00 - $85,192.50

With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

Apply