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Postdoctoral In Reinforcement Learning Jobs in Idaho

University of Idaho

Postdoctoral Researcher

Moscow, ID · On-site

$58K/yr

The postdoctoral researcher will conduct cutting-edge research in areas such as cyber-physical systems security, protection of critical infrastructure, and adversarial machine learning. The position ...

Micron

Staff Machine Learning Engineer

Boise, ID · On-site

... reinforcement learning, and generative AI 4. Python or Java 5. Pub/Sub, Solace, or Kafka 6. Developing ML/AI solutions in GCP, Azure, or AWS 7. Docker and Kubernetes 8. Developing ETL/ELT pipelines ...

Micron

Staff Machine Learning Engineer

Boise, ID · On-site

... reinforcement learning, and generative AI. * Proficient in Python or Java, with experience developing APIs and event-driven pipelines using Kafka, Pub/Sub, or similar messaging systems. * Skilled in ...

University of Idaho Job

Postdoctoral Fellow

Moscow, ID · On-site

$42K - $57K/yr

PhD in environmental science, hydrology, civil or environmental engineering, geography ... Experience with machine learning, hydrologic modeling, or energy systems modeling (e.g., ParFlow ...

University of Idaho

Postdoctoral Fellow

Moscow, ID · On-site

$42K - $57K/yr

PhD in environmental science, hydrology, civil or environmental engineering, geography ... Experience with machine learning, hydrologic modeling, or energy systems modeling (e.g., ParFlow ...

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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?

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

Postdoctoral Researcher

University of Idaho Job

Moscow, ID

$58K/yr

Full-time

Re-posted 27 days ago

Job description

Position Information
Internal Posting? Posting Number SP005231P Position Title Postdoctoral Researcher Division/College College of Engineering Department Computer Science Location Moscow Posting Context Statement Position Overview
The Department of Computer Science invites applications for a Postdoctoral Researcher position in cybersecurity and artificial intelligence. The postdoctoral researcher will conduct cutting-edge research in areas such as cyber-physical systems security, protection of critical infrastructure, and adversarial machine learning. The position will involve collaborating with faculty and graduate students on interdisciplinary research projects, publishing results in high-quality peer-reviewed venues, and contributing to the preparation of external research proposals.
Duties may include:
  • Conduct original research in cybersecurity, artificial intelligence, and related areas, including cyber-physical systems security and adversarial machine learning.
  • Publish research findings in high-quality peer-reviewed journals and conferences.
  • Collaborate with faculty, graduate students, and interdisciplinary research teams on funded and emerging research projects.
  • Contribute to the development and preparation of external research proposals to federal agencies, industry partners, and other funding organizations.
  • Participate actively in the department's research community, including seminars, workshops, and collaborative initiatives.
  • Mentor graduate and undergraduate students involved in research activities.
  • Teach up to one course per academic year, depending on departmental needs.
  • Perform other duties as assigned.

The successful candidate will join an active research environment in cybersecurity and artificial intelligence and will have opportunities to collaborate with faculty and students on externally funded research projects.
Unit URL
https://www.uidaho.edu/engineering/academics/computer-science
Position Qualifications
Required Experience
  • Demonstrated research experience in cybersecurity or closely related areas, such as artificial intelligence for security, cyber-physical systems security, or adversarial machine learning.
  • Peer-reviewed publications, conference papers, technical reports, or dissertation research in cybersecurity or related fields.
  • Experience conducting experimental, theoretical, or computational research using appropriate programming languages, tools, or frameworks.
  • Experience collaborating with faculty, students, and interdisciplinary research teams in an academic research environment.

Required Education
  • Ph.D. in Computer Science, Cybersecurity, or Electrical/Electronic Engineering.
Required Other
  • None
Additional Preferred
  • Evidence of strong written and oral communication skills
  • Track record of peer-reviewed publications in the field of cybersecurity and machine learning
  • Proficiency in programming using multiple languages and frameworks
  • Ability to work in a multidisciplinary environment

Physical Requirements & Working Conditions
  • None
Degree Requirement Listed degree qualification is required at time of hire
Posting Information
FLSA Status Exempt Employee Category Exempt Pay Range $58,822.39 Type of Appointment Fiscal Year FTE
1.0
Full Time/Part Time Full Time Funding This position is contingent upon the continuation of work and/or funding. A visa sponsorship is available for the position listed in this vacancy. No Posting Date 04/13/2026 Closing Date Open Until Filled Yes Special Instructions to Applicants
Applications submitted by April 27, 2026 will receive first consideration.
Applicant Resources https://www.uidaho.edu/human-resources/careers/applicant-resources Background Check Statement
Applicants who are selected as final possible candidates must be able to pass a criminal background check.
EEO Statement
The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.

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