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Remote Machine Learning Postdoc Jobs in Pennsylvania

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Experience with HPC systems, machine learning, and GRB monitor data analysis would be an advantage.

The Pennsylvania State University

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... and Machine Learning in the following computational and data driven discovery areas: * Earth ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... of power systems, machine learning, cybersecurity, renewable energy, microgrids, hands-on ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... This team serves as the foundation for effective machine learning-building, curating, and governing ...

The Pennsylvania State University

$100K - $132K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... This team serves as the foundation for effective machine learning-building, curating, and governing ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Familiarity with machine learning workflows and how data is consumed for training, evaluation, and ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Strong foundation in machine learning concepts, including supervised, unsupervised, and ...

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Remote Machine Learning Postdoc information

What is a remote machine learning postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

What are the key skills and qualifications needed to thrive as a remote machine learning postdoc?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.

What are the most commonly searched types of Machine Learning Postdoc jobs in Pennsylvania?

The most popular types of Machine Learning Postdoc jobs in Pennsylvania are:

What are popular job titles related to Remote Machine Learning Postdoc jobs in Pennsylvania?

For Remote Machine Learning Postdoc jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Postdoc jobs in Pennsylvania look for?

The top searched job categories for Remote Machine Learning Postdoc jobs in Pennsylvania are:

Remote Machine Learning Postdoc jobs near you
Infographic showing various Remote Machine Learning Postdoc job openings in Pennsylvania as of August 2026, with employment types broken down into 54% Full Time, 19% Part Time, and 27% Contract. Highlights an 100% Remote job distribution.

Postdoctoral Scholar

On-site, Remote

The Pennsylvania State University
Education • 11 - 50 employees
Learn more about The Pennsylvania State Universityexternal

Full-time

Re-posted 14 days ago

Job description

APPLICATION INSTRUCTIONS:
  • 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, seeNotice to Out of State Applicants.

This is a term position; length of the term will be discussed during the interview process. Continuation past the termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding.

POSITION SPECIFICS

The Department of Statistics at The Pennsylvania State University, invites applications for a Postdoctoral Scholar position in the research group of Dr. Aleksandra (Sesa) Slavkovic. Potential research projects include (but are not limited to) work on various statistical aspects of data privacy methodology, including validity of inference, measurement error, nonparametric statistics, causal inference, synthetic data, reproducibility, intersection of AI and data privacy, and work with survey, census, health/genomic and other complex data. The scholar will have an opportunity to collaborate with other researchers, and mentor graduate and undergraduate students, and may also teach one course per year for the Department of Statistics.

Education and Experience

A Ph.D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of appointment is required. The successful applicants will be expected to have a strong statistical and computational background, research experiences showing independence and innovation, and demonstrated academic writing and communication skills. Experience designing or using AI-assisted research workflows (e.g., LLM-supported literature synthesis, structured extraction of claims/evidence, reproducible AI-in-the-loop pipelines, or evaluation/verification of model-generated outputs) is preferred.

Additional Information

Applicants must complete the Penn State application and must submit an application through Mathjobs.org (https://www.mathjobs.org/jobs/list/28282) withthe following materials in order for the application to be complete: (1) Curriculum Vitae; (2) Statement of Research Experience and Interests; (3) Names and Contact Information for three references.

Review of applications will begin immediately and continue untilthe positionis filled. Following a screening of initial application materials, candidates will be contacted by email asking for letters of reference to be sent. Informal inquiries about this search may be directed to Dr. Aleksandra Slavkovic (sesa@psu.edu).

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 ourBenefits 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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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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