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Postdoctoral In Reinforcement Learning Jobs in Idaho

Postdoctoral Fellow

Moscow, ID

$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 ...

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 ...

BCABA Tutor

Idaho Falls, ID · Remote

$18 - $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 ...

BCABA Tutor

Rexburg, ID · Remote

$18 - $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 ...

Production Operator I

Meridian, ID · On-site

$16.25 - $19.75/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Learn and become proficient in the aspects of manufacturing, stripping products from forms ...

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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, 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 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:
Nuclear Power Applications Postdoctoral Data Science Researcher

Nuclear Power Applications Postdoctoral Data Science Researcher

Idaho National Laboratory

Idaho Falls, ID

$105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Idaho National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

12th of 105 rated laboratories


Job description

The Idaho National Laboratory (INL) is seeking a well-qualified Postdoctoral Research Associate in Data Science for the Department of Plant Optimization. The ideal candidate should possess a robust technical background and practical experience with large language models (LLMs). 
 

The Postdoctoral Researcher will have the following key responsibilities:

  • Develop, fine-tune, and optimize LLMs.
  • Design and implement efficient retrieval-augmented generation systems.
  • Create advanced prompt engineering strategies to enhance model performance and utility.
  • Demonstrate expertise in embedding techniques, with a clear understanding of their strengths, weaknesses, and applicability to various use cases.
  • Perform comprehensive data preprocessing, including cleaning, normalization, and integration of diverse data types such as text, images, and tabular data.
  • Analyze and structure complex datasets, including unstructured data types such as images and tables.
  • Apply advanced AI model optimization techniques to improve the efficiency and performance of large and frontier models for specific applications.
  • Understand the principles and trade-offs associated with large-scale machine learning systems.
  • Develop agentic AI systems including multi-modal models.
  • Communicate effectively, both verbally and in writing, with management, co-workers, and customers.
  • Publish research results in a mix of journal publications and conference proceedings.
  • Write or contribute to the writing of technical reports.
  • Prepare competitive proposals for the DOE or internal INL funding opportunities.
  • Give technical presentations to internal and external audiences.

Our team works a 9x80 schedule located out of our Research and Education Campus in Idaho Falls, ID, with every other Friday off.

You are expected to be a strong asset to our interdisciplinary R&D team and work effectively both alone and as a team member. You must be self-motivated but also take directions from other team members and peers
 

Required:

  • PhD in Data Science, Engineering, Mathematics, Computer Science, Artificial Intelligence or comparable disciplines. 
  • PhD requirements must be completed by commencement of appointment and within the previous 5 years.
  • Experience developing and optimizing large language models (LLMs).
  • Experience in data science, data analysis, and software development using Python, C#, Java or C++. 
  • Demonstrated oral and written communication in English.
  • This position is subject to export control restrictions per the Department of Energy. For this reason, you must be either a US Citizen or a US Green Card holder to qualify for the job. 


 

The ideal candidate will possess:

  • Experience in distributed processing frameworks and high-performance computing resources to build and deploy scalable AI solutions.
  • Experience in model optimization and deployment on NVIDIA and AMD GPUs, ensuring efficient utilization of computational resources.
  • Experience in computer vision or time-series data analytics, including practical applications in real-world scenarios.
  • Experience with vision language models and large behavioral models.
  • Knowledge of data architecture, data structuring, and best practices for managing large-scale data pipelines.
  • Familiarity with nuclear engineering concepts, including nuclear reactors and associated data, is a significant advantage.
  • Ability to work independently and collaboratively in a multidisciplinary team environment.
     


 

Physical Requirements:

While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend. The job requires hand/finger dexterity to keyboard or type, handle materials, manipulate tools, and reach with hands and arms. The job requires operation of job-related equipment. The employee must occasionally lift and/or move up to 25 pounds. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job Information:

  • The pay for this position is $105,144 Annually. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.

Benefits and Relocation

  • Medical, Dental, Vision, and Flexible Spending Accounts
  • 401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
  • Paid time off (personal leave)
  • Employee Education Program (tuition assistance for eligible positions)
  • Comprehensive Relocation Package
  • Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.

INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's critical infrastructure.

INL Mission:

Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

INL Vision:

Our vision is to change the world's energy future and secure our nation's critical infrastructure.

Selective Service Requirements:

To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov.

Equal Employment Opportunity:

Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Reasonable Accommodation:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Other Information:

When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.

INL does not accept resumes from third party vendors unsolicited.

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About Idaho National Laboratory

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Idaho National Laboratory is a leading multi-disciplinary national laboratory dedicated to supporting the U.S. Department of Energy's missions in nuclear and energy research, science, and national defence. Located in Idaho Falls, ID, US, it operates under the management of Battelle Energy Alliance. Since its inception in 1949, the lab has remained at the forefront of nuclear energy innovations and advancements, providing critical scientific and technological inputs to support national priorities. Guided by its commitment to excellence, innovative research, collaborative partnerships, and integrity, the lab continues to play a vital role in driving America's nuclear and energy future.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1949

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