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Postdoctoral In Reinforcement Learning Jobs in Georgia

D. in Computer Science, Data Science, Engineering, Computational Science, Information Science ... Familiarity with artificial intelligence, machine learning, data science, or computational modeling.

Strong background in reinforcement learning, tool-use, or multi-agent systems. * Systems Thinking: Ability to conduct research under real-world constraints, such as latency, cost-to-serve, and ...

Learning Specialist

Duluth, GA ยท On-site

$27.26 - $40.89/hr

ESSENTIAL FUNCTIONS โ€ข Trains and coaches new team members in systems, job functions, policies ... reinforcement efforts. โ€ข Provide exceptional service to our internal partners and team members ...

Postdoctoral Fellow

Atlanta, GA ยท On-site

$47.10K - $63.90K/yr

... in programming languages (Python, R, Perl); machine learning/AI applications. โ€ข Experience with CRISPR techniques; microbiome experiments and analysis; advanced statistical analysis and data ...

Director of AI Engineering

Cumming, GA ยท On-site

$143.50K - $205K/yr

You may be eligible to participate in a Company incentive or bonus program. Responsibilities Key ... Deep learning, NLP, generative AI, predictive analytics, reinforcement learning. โ€ข MLOps & AI ...

Preferred Qualifications: * 5+ years in operations research, statistics, computer science, or related science field. * Experience with time series forecasting, reinforcement learning, machine ...

Preferred Qualifications: * 5+ years in operations research, statistics, computer science, or related science field. * Experience with time series forecasting, reinforcement learning, machine ...

A Day in the Life: The Director, Fleet AI Engineering will define, build, and scale AI/ML solutions ... Solid grasp of supervised/unsupervised learning and reinforcement learning / sequential decision ...

Staff Machine Learning Engineer

Atlanta, GA ยท On-site +1

$220K - $280K/yr

Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection. * Background in Daily Fantasy Sports (DFS), oddsmaking, or ...

A Day in the Life: The Director, Fleet AI Engineering will define, build, and scale AI/ML solutions ... Solid grasp of supervised/unsupervised learning and reinforcement learning / sequential decision ...

Staff Machine Learning Engineer

Atlanta, GA ยท On-site

$220K - $280K/yr

Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection. * Background in Daily Fantasy Sports (DFS), oddsmaking, or ...

Staff Machine Learning Engineer

Atlanta, GA ยท On-site +1

$220K - $280K/yr

Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection. * Background in Daily Fantasy Sports (DFS), oddsmaking, or ...

... Reinforcement or Deep Learning. * Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques ...

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Postdoctoral In Reinforcement Learning information

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

Postdoctoral Researcher

Morehouse College

Atlanta, GA โ€ข On-site

Other

Posted 20 days ago


Job description

Position Information
Job Type Non-Faculty Position Title Postdoctoral Researcher Position Number E00286 Department Software Engineering Degree Program Location Morehouse College - Atlanta, GA Position Summary
The Postdoctoral Researcher for the Morehouse Supercomputing Facility (MSF) will support research, training, and academic initiatives that expand the use of high-performance computing (HPC), artificial intelligence, and data-intensive technologies across Morehouse College and the Atlanta University Center (AUC) Consortium. This position provides an early-career scholar with opportunities to conduct computational research, assist faculty projects, develop training programs, and contribute to curriculum innovation utilizing advanced computing resources.
The Postdoctoral Researcher will collaborate with faculty, students, and technical staff to design research workflows, analyze data, and apply supercomputing resources to interdisciplinary challenges in areas such as AI, data science, genomics, social science, engineering, and climate modeling. The position also includes mentoring students, contributing to grant proposals, preparing manuscripts, and supporting workshops that broaden participation in computing.
This role is designed to prepare the successful candidate for future leadership in academia, national laboratories, research administration, or industry research environments.
Required Qualifications
Ph.D. in Computer Science, Data Science, Engineering, Computational Science, Information Science, Mathematics, Physics, or a related STEM discipline.

Preferred Qualifications
  • Experience using Linux environments, clusters, cloud computing, or GPU systems.
  • Experience in research publication or grant-supported projects.
  • Experience mentoring undergraduate researchers.
  • Experience with interdisciplinary or data-intensive research.

Preferred Education/Experience Required Knowledge, Skills, and Abilities
Required Knowledge

  • Understanding of high-performance computing environments, research computing workflows, and parallel computing concepts.
  • Knowledge of programming languages such as Python, R, SQL, or related scientific computing tools.
  • Familiarity with artificial intelligence, machine learning, data science, or computational modeling.
  • Knowledge of research methods, data analysis, and scholarly publication processes.
Required Skills

  • Ability to conduct independent and collaborative research projects.
  • Strong quantitative and analytical problem-solving skills.
  • Effective written communication for manuscripts, reports, and grant support.
  • Ability to teach or train students and faculty on technical concepts.
  • Strong project management and organizational skills.
Required Abilities

  • Ability to learn emerging technologies quickly.
  • Ability to collaborate across disciplines.
  • Ability to translate technical concepts for non-technical audiences.
  • Commitment to diversity, equity, and inclusion in computing and STEM research.

Physical Demands
The position requires prolonged periods of sitting, especially during
data analysis, manuscript preparation, and meetings.
Occasional standing and walking for meetings, participant
recruitment, or event coordination may be required.
Must be able to lift and carry up to 15 pounds for materials or
equipment related to research activities.
Ability to operate standard office equipment (computers, printers,
phones) and research tools (statistical software, data collection
devices) effectively.
Essential Duties/Responsibilities
Essential Duties/Responsiblities
Research and Computational Support
  • Conduct original research utilizing the Morehouse Supercomputing Facility.
  • Support faculty and student research projects requiring advanced computing resources.
  • Design and optimize computational workflows for data-intensive projects.

Training and Curriculum Development
  • Develop workshops and training sessions on HPC, AI, and data science tools.
  • Assist with curriculum development involving computational methods.

Scholarly Productivity
  • Prepare manuscripts, presentations, and technical reports.
  • Assist with grant proposal development and research documentation.

Student Mentoring
  • Mentor undergraduate and graduate students engaged in research projects.
  • Support programs that broaden participation in computing and computational science.

Collaboration
  • Work closely with MSF leadership and technical staff to align research goals with facility capabilities.
Percentage Of Time 100
Posting Detail Information
Posting Number S1426P Number of Vacancies 1 Job Open Date 05/13/2026 Job Close Date Open Until Filled No Special Instructions Summary EEO Statement Summary
Morehouse College is an equal opportunity employer. No employee or applicant will be discriminated against in any condition of employment because of race, color, national origin, sex, religion, age, disability, veteran status, or any other status protected by law.