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Postdoctoral In Reinforcement Learning Jobs in Bloomington, IN

Wendy's

Wendys General Manager

Bedford, IN · On-site

Conduct onboarding and orientation for new hires using the company's learning management system ... Drive improvement in customer experience through coaching, training, and daily reinforcement.

Wendy's

Wendys General Manager

Bedford, IN · On-site

Conduct onboarding and orientation for new hires using the company's learning management system ... Drive improvement in customer experience through coaching, training, and daily reinforcement.

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Postdoctoral In Reinforcement Learning information

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$23.1K

$54.6K

$77.2K

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

As of Aug 8, 2026, the average yearly pay for postdoctoral in reinforcement learning in Bloomington, IN is $54,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,300.00 and $61,500.00 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?

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 are popular job titles related to Postdoctoral In Reinforcement Learning jobs in Bloomington, IN? For Postdoctoral In Reinforcement Learning jobs in Bloomington, IN, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Bloomington, IN look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Bloomington, IN are:
Postdoctoral In Reinforcement Learning jobs near you
Infographic showing various Postdoctoral In Reinforcement Learning job openings in Bloomington, IN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $54,595 per year, or $26.2 per hour.

Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program - Visitin

Indiana University

Bloomington, IN • On-site

$56K/yr

Full-time

Re-posted 13 days ago

Job description

Posting Details
Position Details
Title
Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program - Visiting Research Fellow
Appointment Status
Non-Tenure Track
Department
IU Bloomington Jewish Studies
Location
Bloomington
Position Summary
Visiting Research Fellow
Position Details
Department: Institute for the Study of Contemporary Antisemitism (ISCA) / Borns Jewish Studies Program
Location: Indiana University Bloomington
Appointment: Non-Tenure Track, 1-year initial appointment (renewable for 2nd year, depending on funding and performance)
Compensation: $56,000 plus benefits
Start Date:April 2026
Position Summary
ISCA seeks a visiting research fellow to advance understanding of contemporary antisemitism through computational analysis of social media platforms. This position focuses on digital humanities and social media analytics under Dr. Gunther Jikeli's supervision, with particular emphasis on analyzing Instagram activities and rhetoric patterns.
Key Responsibilities
• Manage Research Lab Social Media & Hate operations, including coordinating with students and managing computing infrastructure
• Lead and expand Instagram analysis project examining campus groups
• Develop new computational research projects on contemporary antisemitism
• Build computational pipelines for social media data collection and analysis
• Supervise graduate and undergraduate research assistants
• Write scientific publications and present findings
Required Qualifications
• MA in computational social science, digital humanities, computer science, or related field
• Python proficiency for data analysis and social media data collection
• Demonstrated experience leading computational research projects with social media analysis
• Strong organizational skills and ability to work as team leader
• Excellent written and oral communication skills
Preferred Qualifications
• Background in antisemitism studies
• Experience with R, NLP and deep learning libraries
• High performance computing experience
• Proficiency in German, French, or Arabic
How to Apply
Submit the following through Indiana University's PeopleAdmin system: https://indiana.peopleadmin.com/postings/31588
• Cover letter describing research background, career goals, and interest in position
• Current CV
• Contact information for two references
• Writing sample (optional)
Review of applications begins February 14, 2026 and continues until position is filled.
Contact: Dr. Gunther Jikeli (gjikeli@iu.edu)
Note: This position involves research on sensitive topics and may require handling potentially disturbing content. Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information.
Basic Qualifications
Required Qualifications
• MA in computational social science, digital humanities, computer science, or related field
• Python proficiency for data analysis and social media data collection
• Demonstrated experience leading computational research projects with social media analysis
• Strong organizational skills and ability to work as team leader
• Excellent written and oral communication skills
Department Contact for Questions
Dr. Gunther Jikeli (gjikeli@iu.edu)
Additional Qualifications
Preferred Qualifications
• Background in antisemitism studies
• Experience with R, NLP and deep learning libraries
• High performance computing experience
• Proficiency in German, French, or Arabic
Salary and Rank
$56,000 - Visiting Research Associate ; FV8
Special Instructions
For Best Consideration Date
02/13/2026
Expected Start Date
04/01/2026
Posting Number
IU-101437-2025

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