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Remote Machine Learning Postdoc Jobs in Pennsylvania

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Experiences with machine learning is a plus to the application. * Solid understanding of the ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS Postdoctoral Scholar (Machine Learning or Artificial Intelligence in Molecular ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... machine learning, digital twins and electronic design automation is highly desired. The postdoc ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... machine learning and multipoint geostatistics for characterization of fractures and novel ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks for ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Qualified candidates are expected to have a background in scientific machine learning,numerical ...

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Remote Machine Learning Postdoc information

Is ML a high paying job?

Machine learning postdoctoral positions are generally well-paid compared to many academic roles, with salaries often ranging from $60,000 to over $100,000 annually depending on experience, location, and funding. These roles typically require strong programming skills in Python or R and knowledge of algorithms and data analysis, which can contribute to higher compensation levels.

Is a PhD in ML worth it?

A PhD in machine learning can enhance qualifications for a remote machine learning postdoc position, often leading to higher-level research opportunities and increased earning potential. However, it requires significant time investment and may not be necessary for industry roles that value practical skills and experience with tools like Python and TensorFlow. The decision depends on career goals and the specific requirements of the desired position.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Postdoc, and why are they important?

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.

Is a postdoc harder than a PhD?

A remote machine learning postdoc typically involves more specialized research, higher expectations for independence, and often requires advanced skills in programming and data analysis. While a PhD focuses on completing a dissertation and gaining foundational expertise, a postdoc emphasizes producing publishable research and may involve longer hours and greater responsibility, making it generally more demanding in terms of research output and expertise. However, the difficulty varies based on individual experience and research environment.

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.

Do you need H-1B for postdoc?

A remote machine learning postdoctoral position typically does not require H-1B sponsorship if the candidate is already authorized to work in the country, such as through a visa or citizenship. However, international candidates may need H-1B or other work visas depending on the employer and local immigration laws. Employers often sponsor visas for postdocs to comply with legal requirements and facilitate employment.

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 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:
What cities in Pennsylvania are hiring for Remote Machine Learning Postdoc jobs? Cities in Pennsylvania with the most Remote Machine Learning Postdoc job openings:
Infographic showing various Remote Machine Learning Postdoc job openings in Pennsylvania as of July 2026, with employment types broken down into 67% Full Time, 11% Part Time, and 22% Contract. Highlights an 100% Remote job distribution.
Postdoctoral Scholar

Full-time

Posted 8 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

Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University.

The Pennsylvania State University is seeking applications for a Postdoctoral Researcher position in the field of computational land surface hydrology, with a focus on Foundation AI model pretraining and finetuning, geospatial data processing and physics-informed machine learning. Prior experiences with these topics are highly desired. Pending approval of the grant, the successful candidate will work on innovative research in hydrology, collaborating with Dr. Shen and other faculty members, while also participating in the development of research projects and providing support to graduate students.

The postdoctoral scholar will combine foundation AI modeling and differentiable modeling (a genre of physics-informed machine learning) for hydrologic modeling to improve large-scale hydrologic forecast. The scholar will work with a large, interdisciplinary team on the next-generation land surface model. Especially, the scholar will integrate state-of-the-art AI and physics-informed AI techniques into an operational system. The contribution could bring benefits to society and reduce the damage of floods.

Duties include, but are not limited to:

  • Develop and implement novel modeling techniques.

  • Stay current with the latest developments and be willing to learn and adopt frontier methods.

  • Collaborate with research team members to design, execute, and interpret research findings.

  • Contribute to the development of high-quality research publications and presentations.

  • Provide support to graduate students within the department.

Requirements:

The Postdoctoral Researcher should possess a Ph.D. in hydrology, civil engineering, environmental science, or a closely related field by the appointment start date.

The successful candidate will also have:

  • A strong background in numerical modeling and the application of computational methods to land surface hydrological problems.

  • Research experience with a track record of published work in relevant scientific journals.

  • Excellent communication, teamwork, and problem-solving skills.

  • Proficiency in programming languages, such as Python or Fortran.

  • Experiences with machine learning is a plus to the application.

  • Solid understanding of the physical hydrologic cycle and large-scale geographic datasets.

The Pennsylvania State University offers a dynamic research environment, providing access to world-class facilities and resources. We encourage highly motivated candidates with a passion for advancing the field of computational hydrology to apply for this exciting position. To apply, please submit your CV, a cover letter detailing your research interests and experience, and contact information for three references with your online application.


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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