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Postdoctoral In Reinforcement Learning Jobs in Bloomington, IN

Indiana University

Post Doctoral Appointee

Bloomington, IN · On-site

$42K - $58K/yr

Postdoctoral Fellow in Peptide Chemistry and Cancer ImmunotherapyThe Peptide Laboratory at the ... robust learning and working environments for all students, staff, and faculty. We invite ...

Varsity Tutors

BCABA Tutor

Bloomington, IN · Remote

$40/hr

Ability to explain reinforcement schedules, functional behavior assessment, and behavior ... in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring ...

Indiana University

Admin Generalist Coordinator

Bloomington, IN · On-site

$16 - $21.75/hr

... postdoctoral study. We are committed to outreach activities at all levels, to disciplinary and ... Typesetting exams in MS Word, learning LaTeX. Serves as the backup to the office services assistant ...

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

See Bloomington, IN salary details

$23.1K

$54.6K

$77.2K

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

As of Sep 11, 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 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.

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.

Post Doctoral Appointee

Bloomington, IN • On-site

Indiana University
See more jobs at Indiana Universityexternal

$42K - $58K/yr

Full-time

Re-posted 24 days ago

Job description

Posting Details

Position Details

Title
Post Doctoral Appointee

Specific Title

Appointment Type
Postdoctoral Fellow

Department
IUSM - Microbiology & Immunology

Campus
IU School of Medicine Indianapolis

Position Summary

Position Title: Postdoctoral Fellow in Peptide Chemistry and Cancer ImmunotherapyThe Peptide Laboratory at the Indiana University School of Medicine is seeking an outstanding and highly motivated Postdoctoral Fellow to join a multidisciplinary research program focused on the discovery and translation of next-generation peptide-based cancer immunotherapies.

The laboratory has pioneered B-cell epitope peptide vaccines targeting immune checkpoint molecules and oncogenic growth factor receptors and is advancing novel multivalent and multispecific vaccine platforms toward clinical translation. The successful candidate will lead innovative projects integrating peptide chemistry, structural immunology, cancer biology, and translational immunotherapy.

This position offers the opportunity to work in a highly collaborative environment with access to state-of-the-art chemistry, proteomics, immunology, and animal research cores while contributing to projects with strong publication, patent, and clinical translation potential.

Research Focus

Current research programs include:

  • Therapeutic peptide vaccines targeting PD-1, CTLA-4, TIGIT, IL1RAP, HER-2/HER-3, VEGF, and other immune and tumor-associated targets
  • Development of multispecific and multivalent peptide vaccine platforms
  • Peptide conjugation using click chemistry and advanced linker technologies
  • Structural design and optimization of conformational B-cell epitopes
  • Combination immunotherapy with chemotherapy, targeted therapies, and immune checkpoint modulation
  • Translation of peptide vaccines from preclinical models to Phase I clinical trials

Responsibilities

The successful candidate will:

  • Synthesize therapeutic peptide vaccine candidates using Fmoc solid-phase peptide synthesis (SPPS).
  • Develop and optimize peptide conjugation strategies, including CuAAC, SPAAC, thiol-maleimide coupling, PEGylation, and multivalent scaffold assembly.
  • Purify and characterize peptides using analytical and preparative HPLC, LC-MS, and MALDI-TOF mass spectrometry.
  • Execute studies evaluating vaccine immunogenicity and antitumor efficacy in preclinical models.
  • Collaborate with multidisciplinary teams in chemistry, immunology, oncology, and bioinformatics.
  • Analyze and interpret experimental data and maintain detailed laboratory records.
  • Prepare manuscripts for publication in high-impact journals.
  • Contribute to NIH grant applications, progress reports, and intellectual property development.
  • Mentor graduate students, technicians, and undergraduate trainees.
  • Present research findings at national and international scientific meetings.

IU School of Medicine is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.

Indianapolis is the capital and most populous city in the State of Indiana. It is growing economically thanks to a strong corporate base anchored by the life sciences. Indiana is home to one of the nation's largest concentrations of health sciences companies. Indianapolis has a sophisticated blend of charm and culture with a wonderful balance of business and leisure. The growing residential base is supported by rich amenities and quality of life - the city possesses a variety of professional sports, arts venues, and outdoor recreation areas.

Residents of this dynamic city and surrounding suburbs enjoy leading educational systems and top-ranked universities paired with a diverse population. Indianapolis International Airport is a top-ranked international airport that has been named "Best Airport in North America" by Airports Council International for many years. For additional information on life in

Indy: https://faculty.medicine.iu.edu/relocation

Faculty Affairs and Professional Development | IU School of Medicine

Basic Qualifications

Required Qualifications

  • Ph.D. in Chemistry, Medicinal Chemistry, Chemical Biology, Biochemistry, Pharmaceutical Sciences, Immunology, or a closely related field.
  • Demonstrated expertise in peptide synthesis and purification.
  • Strong publication record in peer-reviewed scientific journals.
  • Experience designing and troubleshooting independent research projects.
  • Excellent written and oral communication skills.
  • Ability to work independently while contributing effectively to collaborative research.

Preferred Qualifications

Preference will be given to candidates with expertise in one or more of the following:

  • Automated and manual Fmoc solid-phase peptide synthesis
  • Peptide cyclization and constrained peptide design
  • Click chemistry (CuAAC and SPAAC)
  • Bioconjugation chemistry and linker design
  • Reverse-phase HPLC method development
  • LC-MS and MALDI-TOF characterization
  • Cancer immunology
  • Tumor immunology
  • Vaccine development
  • Immune checkpoint biology
  • Mouse models of cancer
  • Flow cytometry
  • ELISA and antibody characterization

Cell culture and molecular biology techniques

Department Contact for Questions

Gerri Herron
HR Coordinator
geherron@iu.edu

Additional Qualifications

Special Instructions

Priority Application Review Deadline

Expected Start Date
11/02/2026

Posting Number
IUSM-02499-2026

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