Postdoctoral Scholar
University Park, PA · On-site
A strong background in artificial intelligence, machine learning, computational science, data ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
Postdoctoral Scholar
University Park, PA · On-site
A strong background in artificial intelligence, machine learning, computational science, data ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
Pre- or postdoctoral training in neurobiology of learning and memory or disease is particularly useful. Candidates must have a strong publication record with primary authorship in peer-reviewed ...
Pre- or postdoctoral training in neurobiology of learning and memory or disease is particularly useful. Candidates must have a strong publication record with primary authorship in peer-reviewed ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Reading, PA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Reading, PA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
West Chester, PA · On-site
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
West Chester, PA · On-site
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
... Postdoctoral Scholar beginning January 2027. The successful candidate will work with Professor ... methods in machine learning.These include applications of Random Matrix theory and Gaussian ...
... Postdoctoral Scholar beginning January 2027. The successful candidate will work with Professor ... methods in machine learning.These include applications of Random Matrix theory and Gaussian ...
Develop progressive flow-physics-learning and machine-learning methods * Perform CFD simulations ... Document results in reports, presentations, software, and publications Qualifications and ...
Develop progressive flow-physics-learning and machine-learning methods * Perform CFD simulations ... Document results in reports, presentations, software, and publications Qualifications and ...
Postdoctoral Scholar
University Park, PA · On-site
... Postdoctoral Scholar beginning January 2027. The successful candidate will work with Professor ... methods in machine learning. These include applications of Random Matrix theory and Gaussian ...
Postdoctoral Scholar
University Park, PA · On-site
... Postdoctoral Scholar beginning January 2027. The successful candidate will work with Professor ... methods in machine learning. These include applications of Random Matrix theory and Gaussian ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Harrisburg, PA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Harrisburg, PA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Bloomsburg, PA · On-site
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Bloomsburg, PA · On-site
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Philadelphia, PA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Philadelphia, PA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Philadelphia, PA · On-site
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Philadelphia, PA · On-site
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Allentown, PA · On-site
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Allentown, PA · On-site
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Indiana, PA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Indiana, PA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
$48K - $65K/yr
... a Postdoctoral Scholar to participate in a multi-disciplinary, multi-investigator NSF-funded ... reinforcement learning. * Strong track record in scientific contributions supported by peer ...
$48K - $65K/yr
... a Postdoctoral Scholar to participate in a multi-disciplinary, multi-investigator NSF-funded ... reinforcement learning. * Strong track record in scientific contributions supported by peer ...
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Bloomsburg, PA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Bloomsburg, PA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Allentown, PA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Allentown, PA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement ... Strong foundations in modern machine learning, including deep learning, optimization ...
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?
| Aspect | Postdoctoral In Reinforcement Learning | Postdoctoral In Machine Learning |
|---|---|---|
| Required Credentials | PhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learning | PhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning |
| Work Environment | Academic labs, research institutions, industry R&D teams focused on reinforcement learning applications | Academic labs, research institutions, industry R&D teams working on various machine learning techniques |
| Industry Usage | Primarily in AI research, robotics, gaming, and autonomous systems | Broader 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 Pennsylvania?
For Postdoctoral In Reinforcement Learning jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Pennsylvania look for?
The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Postdoctoral In Reinforcement Learning jobs?
Cities in Pennsylvania with the most Postdoctoral In Reinforcement Learning job openings:
Postdoctoral Scholar
University Park, PA • On-site
Penn State University
• Colleges, Universities, and Professional Schools • 51 - 200 employees51 - 200 employees
Full-time
Re-posted 7 days ago
Penn State University rating
7.8
Based on 104 frontline employees who took The Breakroom Quiz
Job description
APPLICATION INSTRUCTIONS:
Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
The Penn State School of Labor and Employment Relations invites applications for a Postdoctoral Scholar to join a dynamic, interdisciplinary team working at the frontier of artificial intelligence and human-based leadership. As organizations increasingly blend algorithmic and human decision-making, fundamental questions arise about how leadership operates, adapts, and creates value in this new landscape. Our team is dedicated to answering them-and to translating that research into insights that shape the future of work.
This is a unique opportunity for an early-career scholar to contribute to high-impact, publishable research while developing the research skills, collaborations, and visibility to launch a thriving academic or research career.
As a Postdoctoral Scholar, you will design and conduct original research at the intersection of AI and organizational leadership, collaborate closely with faculty and fellow researchers across disciplines, and contribute to manuscripts for leading peer-reviewed journals. You'll have the freedom to help shape the direction of emerging projects and the support to grow as an independent scholar.
We are looking for someone who brings a strong technical foundation, genuine curiosity about leadership and organizations, and a collaborative spirit. Specifically, the ideal candidate has:
Requirements: A Ph.D. in a relevant field is required by the date of appointment.
Why Penn State: You'll join one of the nation's premier institutions for the study of work, employment, and organizations, with access to world-class resources, a vibrant intellectual community, and an opportunity to work with leading scholars in organizational leadership.
How to Apply...
Interested candidates must submit an online application at Penn State's Job Posting Board, and should upload the following application materials: a letter of interest, CV or resume, and a list of three references with contact information.
Review of applications will begin immediately and continue until the position is filled.
Visit our website at https://ler.la.psu.edu/ for more information on our School of labor and Employment Relations
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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- CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
- CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
- If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.
Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
The Penn State School of Labor and Employment Relations invites applications for a Postdoctoral Scholar to join a dynamic, interdisciplinary team working at the frontier of artificial intelligence and human-based leadership. As organizations increasingly blend algorithmic and human decision-making, fundamental questions arise about how leadership operates, adapts, and creates value in this new landscape. Our team is dedicated to answering them-and to translating that research into insights that shape the future of work.
This is a unique opportunity for an early-career scholar to contribute to high-impact, publishable research while developing the research skills, collaborations, and visibility to launch a thriving academic or research career.
As a Postdoctoral Scholar, you will design and conduct original research at the intersection of AI and organizational leadership, collaborate closely with faculty and fellow researchers across disciplines, and contribute to manuscripts for leading peer-reviewed journals. You'll have the freedom to help shape the direction of emerging projects and the support to grow as an independent scholar.
We are looking for someone who brings a strong technical foundation, genuine curiosity about leadership and organizations, and a collaborative spirit. Specifically, the ideal candidate has:
- A strong background in artificial intelligence, machine learning, computational science, data science, computer science, robotics, natural language processing, computer vision, optimization, or a related field
- A keen interest in, or background studying, the role of leadership in organizations, which could be rooted in human-AI collaboration, agent-driven interaction, human-robot interaction, intelligent interfaces, autonomous systems, and the design and evaluation of AI systems that augment human capabilities and leadership
- A desire to collaborate with an interdisciplinary team of scholars
- Ambition to engage in cutting-edge research with the potential to transform organizations and society
Requirements: A Ph.D. in a relevant field is required by the date of appointment.
Why Penn State: You'll join one of the nation's premier institutions for the study of work, employment, and organizations, with access to world-class resources, a vibrant intellectual community, and an opportunity to work with leading scholars in organizational leadership.
How to Apply...
Interested candidates must submit an online application at Penn State's Job Posting Board, and should upload the following application materials: a letter of interest, CV or resume, and a list of three references with contact information.
Review of applications will begin immediately and continue until the position is filled.
Visit our website at https://ler.la.psu.edu/ for more information on our School of labor and Employment Relations
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
Federal Contractors Labor Law Poster
PA State Labor Law Poster
Penn State Policies
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State College, PA, US