ZipRecruiter

Log In

1

Postdoctoral In Reinforcement Learning Jobs in Indiana

Indiana University

Postdoctoral Fellow

Bloomington, IN · On-site

$45K - $61K/yr

We analyze genetic variation in samples from patients with congenital heart defects and utilize ... robust learning and working environments for all students, staff, and faculty. We invite ...

next page

Showing results 1-20

All JobsPostdoctoral In Reinforcement Learning JobsPostdoctoral In Reinforcement Learning Jobs in Indiana

Postdoctoral In Reinforcement Learning information

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 are popular job titles related to Postdoctoral In Reinforcement Learning jobs in Indiana? For Postdoctoral In Reinforcement Learning jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Indiana look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Indiana are:
What cities in Indiana are hiring for Postdoctoral In Reinforcement Learning jobs? Cities in Indiana with the most Postdoctoral In Reinforcement Learning job openings:
Postdoctoral In Reinforcement Learning jobs near you
Postdoctoral Fellow

Postdoctoral Fellow

Indiana University

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Re-posted 18 days ago

Job description

Posting Details
Position Details
Title
Postdoctoral Fellow
Specific Title
Appointment Type
Postdoctoral Fellow
Department
IUSM - Medical & Molecular Genetics
Campus
IU School of Medicine Indianapolis
Position Summary
The Department of Medical and Molecular Genetics at Indiana University School of Medicine is seeking applicants at the Postdoctoral Fellow level. The Ware lab investigates the genetic and developmental basis of pediatric heart disease. We analyze genetic variation in samples from patients with congenital heart defects and utilize mouse, Xenopus and cell-based models to assess these variants. Our lab also uses these models to study genes previously linked to congenital cardiac defects, with a particular focus on left-right patterning genes.
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.
Applications will be received until the position is filled.
Stephanie Ware, MD, Phd (https://medicine.iu.edu/faculty/22816/ware-stephanie) is the Chair of the Department of Medical and Molecular Genetics as well as the program leader of the Cardiovascular Genetics Program within the Wells Center of Pediatric Research. Her long-term research goal is to identify causes of congenital heart defects.
Basic Qualifications
The successful candidates must have a Ph.D. degree with a strong research background in genetics and/or developmental biology. Candidates should have experience with mouse or Xenopus models and molecular biology techniques. Experience collecting/processing mouse embryos, particularly at early stages of development, is highly desirable. Experience with cell culture, immunofluorescence or in situ hybridization would be considered a plus.
Department Contact for Questions
Questions related to this job posting can be directed to Maria Padua: mpadua@iu.edu
Additional Qualifications
The candidates must be self-motivated, well-organized and comfortable mentoring graduate students in basic techniques. A successful candidate must have experience collecting/analyzing/interpreting data and will be expected to participate in manuscript preparation and grant development. It is highly desirable for the holders of this position to develop research projects with strong potential for long-term NIH funding, and to have demonstrated the ability to collaborate with others.
Example publications • Congenital heart defects caused by FOXJ1 https://pubmed.ncbi.nlm.nih.gov/37158461/
• Loss of Zic3 impairs planar cell polarity leading to abnormal left-right signaling, heart defects and neural tube defects https://pubmed.ncbi.nlm.nih.gov/34274973/
Special Instructions
Priority Application Review Deadline
Expected Start Date
Posting Number
IUSM-02353-2026

Apply