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Postdoctoral In Reinforcement Learning Jobs in Wheeling, IL

York Solutions, LLC

AI/ML Scientist

Chicago, IL

Strong theoretical understanding of machine learning algorithms and principles (e.g., supervised/unsupervised, deep learning, reinforcement learning, statistical modeling). * Proficiency in ...

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Postdoctoral In Reinforcement Learning information

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$25.9K

$61.1K

$86.5K

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

As of Jul 14, 2026, the average yearly pay for postdoctoral in reinforcement learning in Wheeling, IL is $61,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $68,900.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Reinforcement Learning, and why are they important?

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 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 job categories do people searching Postdoctoral In Reinforcement Learning jobs in Wheeling, IL look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Wheeling, IL are:
What cities near Wheeling, IL are hiring for Postdoctoral In Reinforcement Learning jobs? Cities near Wheeling, IL with the most Postdoctoral In Reinforcement Learning job openings:
Postdoctoral In Reinforcement Learning jobs near you
Infographic showing various Postdoctoral In Reinforcement Learning job openings in Wheeling, IL as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $61,110 per year, or $29.4 per hour.
Postdoctoral Scholar - Walsh Lab

Postdoctoral Scholar - Walsh Lab

Northwestern University

Evanston, IL • On-site

$47K - $63K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Northwestern University rating

7.8

Company rating: 7.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

179th of 553 rated colleges and universities

Job description

Department: MED-Microbiology-Immunology
Salary/Grade: RES/
Job Summary:
A postdoctoral position is available on an NIH funded research project aimed at understanding how poxviruses control innate immunity and viral pathogenesis through mTOR dysregulation in the laboratory of Dr. Derek Walsh. Dr. Walsh is a Professor at the Department of Microbiology-Immunology, Northwestern University, Feinberg School of Medicine, located in the heart of downtown Chicago beside Lake Michigan and the Magnificent Mile.
Our work employs cutting edge techniques that include genomic, proteomic and metabolic approaches, cryo-EM, super-resolution and multi-color live cell imaging, as well as automated and Deep Learning-based image analysis. For more information about our lab, please visit our website:
http://labs.feinberg.northwestern.edu/walsh/
Candidates must have a PhD or equivalent with experience in basic molecular biology and tissue culture techniques. Additional experience or familiarity with one or more of the techniques listed above is a plus, but not a requirement. No prior postdoctoral or virology experience is required.
Interested applicants should submit a complete CV that includes a brief description of their research experience and the name and contact details for three referees to Derek.walsh@northwestern.edu
Applications will be reviewed immediately and will continue until a suitable candidate is identified
Specific Responsibilities:
  • Conduct independent research and analyze results
  • Publish Manuscripts in peer-reviewed journals
  • Mentor graduate students and technicians
  • Assist in grant writing
  • Maintain compliance and established safety protocols in the lab
Miscellaneous
Performed other duties
Minimum Qualifications: (Education, experience, and any other certifications or clearances)
  • PhD or Equivalent
  • Experience in basic molecular biology and tissue culture techniques
Benefits
At Northwestern, we are proud to provide meaningful and competitive benefits. The available benefits package for this position will include health, dental, vision, disability, and life insurance; paid vacation and holidays; paid medical/sick and parental leave; tuition benefits for the employee and dependents; pre-tax and flex spending accounts for commuting and dependent care; generous retirement savings options; and wellness programs. For a comprehensive overview of available benefits, including eligibility details, visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more.
Work-Life and Wellness:
Northwestern offers comprehensive programs and services to help you and your family navigate life's challenges and opportunities, and adopt and maintain healthy lifestyles.
We support flexible work arrangements where possible and programs to help you locate and pay for quality, affordable childcare and senior/adult care. Visit us at https://www.northwestern.edu/hr/benefits/work-life/index.html to learn more.
Professional Growth & Development:
Northwestern supports employee career development in all circumstances whether your workspace is on campus or at home. If you're interested in developing your professional potential or continuing your formal education, we offer a variety of tools and resources. Visit us at https://www.northwestern.edu/hr/learning/index.html to learn more
Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern's non-discrimination statement . Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View additional information on the accommodations process .

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