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Postdoctoral In Reinforcement Learning Jobs in Minnesota

AI/Machine Learning Engineer

Maplewood, MN · On-site

$143K/yr

The Impact You'll Make in this Role As an AI Software Developer, Early Career, you will join an ... analogical reasoning, reinforcement learning, constraint solving, or simulation systems.

AI/Machine Learning Engineer

Maplewood, MN · On-site

$143K/yr

The Impact You'll Make in this Role As an AI Software Developer, Early Career, you will join an ... analogical reasoning, reinforcement learning, constraint solving, or simulation systems.

Showing results 21-40

Postdoctoral In Reinforcement Learning information

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.

What are popular job titles related to Postdoctoral In Reinforcement Learning jobs in Minnesota?

For Postdoctoral In Reinforcement Learning jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Minnesota look for?

The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Minnesota are:

What cities in Minnesota are hiring for Postdoctoral In Reinforcement Learning jobs?

Cities in Minnesota with the most Postdoctoral In Reinforcement Learning job openings:

Postdoctoral Researcher

Minneapolis, MN

University of Minnesota
Education • 10K+ employees

$61K/yr

Full-time

Medical, Dental, Life

Re-posted 29 days ago


Key responsibilities

  • Conduct in vitro and in vivo experiments related to CNS angiogenesis, blood-brain barrier, and neurovascular signaling, utilizing mouse genetics, imaging, and transcriptomics.

  • Independently carry out experiments from start to finish, troubleshoot, and optimize methods.

  • Analyze, interpret, and present experimental results, including performing statistical analyses.


Job description

About the Job
 

Classification: Post-Doctoral Associate (9546)

About the Junge Lab: The Junge lab at the University of Minnesota Medical School (Twin Cities) is seeking a talented postdoctoral trainee with aspirations to become an independent scientist in academia or industry. We offer a personalized training plan tailored to your career goals. Our research focuses on neurovascular signaling, utilizing mouse genetics, molecular and protein-biochemical methods, cell biology, and various -omics methods. Currently, we are exploring pharmacological activation of Wnt and Norrin signaling to restore pericytes in the brain and retina. For more information, visit our lab webpage at https://med.umn.edu/ophthalmology/research/junge-lab

Responsibilities:

  • Conduct in vitro and in vivo experiments related to CNS angiogenesis, blood-brain barrier, and other neurovascular signaling, with a focus on mouse genetic approaches, imaging, and transcriptomics.
  • Independently carry out experiments from start to finish, troubleshoot, and optimize methods.
  • Analyze, interpret, and present complex experimental results, including performing statistical analyses.
  • Understand models of biological processes, derive appropriate predictions, and design/conduct experiments to test those predictions.
  • Prepare manuscripts and figures for publication.
  • Present work internally at the University of Minnesota and externally at scientific conferences, with training in scientific communication (presentations, papers, grants).
Qualifications
 

Required Qualifications:

  • Ph.D. in Biological Sciences, obtained within the last two years.

Preferred Qualifications:

  • Proven track record of publications and in-depth knowledge in one or more of the following fields: Vascular Biology, Neuroscience, Ophthalmology, Mammalian Developmental Biology, Cell Biology, Signal Transduction, Extracellular Matrix Biology.
  • Hands-on experience working with mice.
  • Strong ability to conceptualize scientific projects and articulate them clearly and logically.
  • Demonstrated independence in conducting experiments, overcoming complex technical challenges, and driving scientific projects to successful completion in a self-motivated manner.
About the Department
 

The Department of Ophthalmology and Visual Neurosciences and its success is built upon the innovation and drive of every member of our team, from faculty to administrators to technicians. Put simply, all of us are driven to provide the best eye care for our patients, discover new treatments, and educate the next generation of eye care professionals. More at https://med.umn.edu/Ophthalmology .

Pay and Benefits
 

Pay Range: Expected annual stipend will be $61,008, adjusted for the next fiscal year, according to University and Medical School guidelines.

Time Appointment: 100% Appointment 

Position Type: Postdoctoral Associate

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training
  • Medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and life insurance
  • Employee wellbeing program
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will have the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.  

This position will remain open until filled.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of Americas Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).