Postdoctoral Researcher in Time Domain Astrophysics Position Type: Faculty Location: Villanova, PA ... machine learning techniques, OR complexity analysis/nonlinear dynamics are particularly well ...
Postdoctoral Researcher in Time Domain Astrophysics Position Type: Faculty Location: Villanova, PA ... machine learning techniques, OR complexity analysis/nonlinear dynamics are particularly well ...
Postdoctoral Research Associate Position in Experimental Particle Physics 2024
Pittsburgh, PA · On-site
... for a postdoctoral Research Associate position in experimental particle physics. The position ... We expect the successful candidate to work on the development of machine learning (ML) algorithms ...
Postdoctoral Research Associate Position in Experimental Particle Physics 2024
Pittsburgh, PA · On-site
... for a postdoctoral Research Associate position in experimental particle physics. The position ... We expect the successful candidate to work on the development of machine learning (ML) algorithms ...
The postdoc will work on topics broadly related to direct and indirect probes of physics beyond the ... Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy ...
The postdoc will work on topics broadly related to direct and indirect probes of physics beyond the ... Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy ...
The postdoc will work on topics broadly related to direct and indirect probes of physics beyond the ... Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy ...
The postdoc will work on topics broadly related to direct and indirect probes of physics beyond the ... Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy ...
The postdoc will work on topics broadly related to direct and indirect probes of physics beyond the ... Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy ...
The postdoc will work on topics broadly related to direct and indirect probes of physics beyond the ... Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy ...
The postdoc will work on topics broadly related to direct and indirect probes of physics beyond the ... Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy ...
The postdoc will work on topics broadly related to direct and indirect probes of physics beyond the ... Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy ...
Postdoctoral Scholar
University Park, PA · On-site
D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
Postdoctoral Scholar
University Park, PA · On-site
D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
Develop progressive flow-physics-learning and machine-learning methods * Perform CFD simulations ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
Develop progressive flow-physics-learning and machine-learning methods * Perform CFD simulations ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
Post Doctoral.Post Doctoral.Associate
Pittsburgh, PA · On-site
$47K - $64K/yr
Postdoctoral Associate in AI-Driven Omics Analysis and Drug Discovery at the Vascular Medicine ... Strong foundation in statistics, machine learning, mathematics, and biological data interpretation ...
Post Doctoral.Post Doctoral.Associate
Pittsburgh, PA · On-site
$47K - $64K/yr
Postdoctoral Associate in AI-Driven Omics Analysis and Drug Discovery at the Vascular Medicine ... Strong foundation in statistics, machine learning, mathematics, and biological data interpretation ...
Post Doctoral Associate-Schwerdt Lab
Pittsburgh, PA · On-site
$47K - $64K/yr
The Schwerdt Lab is seeking a Postdoctoral Associate to lead computational analysis, data ... The incumbent should have some background, ideally working with dynamical systems, machine learning ...
Post Doctoral Associate-Schwerdt Lab
Pittsburgh, PA · On-site
$47K - $64K/yr
The Schwerdt Lab is seeking a Postdoctoral Associate to lead computational analysis, data ... The incumbent should have some background, ideally working with dynamical systems, machine learning ...
Post Doc - ICARM
Pittsburgh, PA · On-site
... symbolic AI, and machine learning and neural AI. The Institute invites applications for a one-year postdoctoral fellowship beginning August 2026, potentially renewable for a second year.
Post Doc - ICARM
Pittsburgh, PA · On-site
... symbolic AI, and machine learning and neural AI. The Institute invites applications for a one-year postdoctoral fellowship beginning August 2026, potentially renewable for a second year.
... and Machine Learning in the following computational and data - driven discovery areas: * Earth ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
... and Machine Learning in the following computational and data - driven discovery areas: * Earth ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...
Post Doctoral.Post Doctoral.Associate
Pittsburgh, PA · On-site
$47K - $64K/yr
A postdoctoral position is available in the Wang Laboratory at UPMC Hillman Cancer Center. We seek ... cutting-edge machine learning to transform omics data into actionable therapeutic insights.
Post Doctoral.Post Doctoral.Associate
Pittsburgh, PA · On-site
$47K - $64K/yr
A postdoctoral position is available in the Wang Laboratory at UPMC Hillman Cancer Center. We seek ... cutting-edge machine learning to transform omics data into actionable therapeutic insights.
Special Faculty - Post Doctoral Researcher
Pittsburgh, PA · On-site
$112K/yr
... and machine learning. The Department augments all these strengths with a friendly, energetic ... The postdoctoral researcher will pursue research with a faculty member on game-theoretic statistics ...
Special Faculty - Post Doctoral Researcher
Pittsburgh, PA · On-site
$112K/yr
... and machine learning. The Department augments all these strengths with a friendly, energetic ... The postdoctoral researcher will pursue research with a faculty member on game-theoretic statistics ...
AI4BIO Fellows Program
Pittsburgh, PA · On-site
$47K - $64K/yr
... a new postdoctoral fellowship program for exceptional early-career scientists working at the ... machine learning with major questions in biology and medicine. The program is designed for ...
AI4BIO Fellows Program
Pittsburgh, PA · On-site
$47K - $64K/yr
... a new postdoctoral fellowship program for exceptional early-career scientists working at the ... machine learning with major questions in biology and medicine. The program is designed for ...
The postdoctoral scholar will be responsible for investigating crystallization phenomena related to ... Knowledge of programming and machine learning is also strongly preferred. Additionally, candidates ...
The postdoctoral scholar will be responsible for investigating crystallization phenomena related to ... Knowledge of programming and machine learning is also strongly preferred. Additionally, candidates ...
The postdoctoral scholar will be responsible for investigating crystallization phenomena related to ... Knowledge of programming and machine learning is also strongly preferred. Additionally, candidates ...
The postdoctoral scholar will be responsible for investigating crystallization phenomena related to ... Knowledge of programming and machine learning is also strongly preferred. Additionally, candidates ...
Postdoctoral Researchers - Time Domain and Multi-Messenger Astrophysics
University Park, PA · On-site
... Postdoctoral Researcher positions to work with Professor Jimmy DeLaunay and collaborators. The ... Experience with HPC systems, machine learning, and GRB monitor data analysis would be an advantage.
Postdoctoral Researchers - Time Domain and Multi-Messenger Astrophysics
University Park, PA · On-site
... Postdoctoral Researcher positions to work with Professor Jimmy DeLaunay and collaborators. The ... Experience with HPC systems, machine learning, and GRB monitor data analysis would be an advantage.
... Postdoctoral Researcher positions to work with Professor Jimmy DeLaunay and collaborators. The ... Experience with HPC systems, machine learning, and GRB monitor data analysis would be an advantage.
... Postdoctoral Researcher positions to work with Professor Jimmy DeLaunay and collaborators. The ... Experience with HPC systems, machine learning, and GRB monitor data analysis would be an advantage.
Temporary Machine Learning Postdoc information
What is a temporary machine learning postdoc?
A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.
What skills and qualifications are needed to thrive as a temporary machine learning postdoc?
To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.
What types of projects and collaborations can a temporary machine learning postdoc expect to engage in?
A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.
What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?
| Aspect | Temporary Machine Learning Postdoc | Data Scientist |
|---|---|---|
| Credentials | PhD in Computer Science, Data Science, or related field | Bachelor's or Master's in Data Science, Computer Science, or related field; often requires experience |
| Work Environment | Academic or research institutions, labs | Corporate, tech companies, startups |
| Employer & Industry Usage | Universities, research centers | Business, technology, finance, healthcare |
| Search & Comparison Intent | Understanding research-focused roles, academic opportunities | Industry roles, applied data analysis, business impact |
The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.
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 Temporary Machine Learning Postdoc jobs in Pennsylvania?
For Temporary Machine Learning Postdoc jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Pennsylvania look for?
The top searched job categories for Temporary Machine Learning Postdoc jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Temporary Machine Learning Postdoc jobs?
Cities in Pennsylvania with the most Temporary Machine Learning Postdoc job openings:
Postdoctoral Researcher in Time Domain Astrophysics
Villanova, PA • On-site
Villanova University
• Colleges, Universities, and Professional Schools • 1 - 5K employees1,001 - 5,000 employees
Full-time
Re-posted 12 days ago
Villanova University rating
7.5
Based on 11 frontline employees who took The Breakroom Quiz
Job description
Posting Details
Do you have questions about the application process? If so, please refer to the Applicant FAQ's.
Posting Details (Default Section)
Posting Number:
20251248F
Position Title:
Postdoctoral Researcher in Time Domain Astrophysics
Position Type:
Faculty
Location:
Villanova, PA
Recruitment Type:
Internal/External Applicants
Work Schedule:
full-time/12-months
Department:
186-Physics
Position Summary:
The Department of Physics at Villanova University invites applications for a postdoctoral position in time domain and high-energy astrophysics with Prof. Becka Phillipson. Successful candidates will work on topics broadly related to the study of transient and variable phenomena, with a focus on accreting compact sources (e.g., XRBs, AGN) in preparation for the upcoming Rubin Observatory's LSST. Projects will draw on new and archival observations from optical ground-based (e.g., Zwicky Transient Facility) and satellite (e.g., TESS) observatories, with potential supplementary data from X-ray observatories, and involve complexity analysis on uniquely variable sources. Applicants with general experience related to these observatories, timing variability of compact sources, time domain methodologies generally, machine learning techniques, OR complexity analysis/nonlinear dynamics are particularly well-matched to the opportunity, but applicants with theoretical expertise related to compact object variability or the aforementioned methodologies are also encouraged to apply.
The Villanova Physics Department is dedicated to excellence in teaching and research, and we recognize the importance of involving our undergraduates in cutting-edge research. We are particularly interested in candidates who can contribute in such an atmosphere. Successful candidates will take advantage of opportunities to mentor students in research and in career development. Postdoctoral researchers in the Physics Department also have the opportunity to gain compensated teaching experience in college classrooms. The position is planned for two years, with additional years contingent on the availability of funding.
Villanova is a Catholic university sponsored by the Augustinian Order. The University is an equal opportunity employer and seeks candidates who understand, respect and can contribute to the University's mission and values.
Duties and Responsibilities:
Duties: Analyze/simulate and interpret timing variability of accreting compact sources. Help supervise and mentor students working on related topics. Teach physics, if desired.
Minimum Qualifications:
PhD (or imminent defense) in Astrophysics, Physics, Math/Statistics, or related field
Preferred Qualifications:
Strong interest and expertise in high-energy astrophysics, particularly in timing analysis
Physical Requirements and/or Unusual Work Hours:
Special Message to Applicants:
Review of applications will begin on 7/23 and will continue until the position is filled.
Applications should be submitted to
jobs.villanova.edu/positionwith:
The intended start date can be as early as September 1 (Fall 2025). For more information, please feel free to email Becka Phillipson at rebecca.phillipson@villanova.edu.
Posting Date:
07/07/2025
Closing Date (11:59pm ET):
Salary Posting Information:
Competitive.
Salary Band:
Job Classification:
faculty
Do you have questions about the application process? If so, please refer to the Applicant FAQ's.
Posting Details (Default Section)
Posting Number:
20251248F
Position Title:
Postdoctoral Researcher in Time Domain Astrophysics
Position Type:
Faculty
Location:
Villanova, PA
Recruitment Type:
Internal/External Applicants
Work Schedule:
full-time/12-months
Department:
186-Physics
Position Summary:
The Department of Physics at Villanova University invites applications for a postdoctoral position in time domain and high-energy astrophysics with Prof. Becka Phillipson. Successful candidates will work on topics broadly related to the study of transient and variable phenomena, with a focus on accreting compact sources (e.g., XRBs, AGN) in preparation for the upcoming Rubin Observatory's LSST. Projects will draw on new and archival observations from optical ground-based (e.g., Zwicky Transient Facility) and satellite (e.g., TESS) observatories, with potential supplementary data from X-ray observatories, and involve complexity analysis on uniquely variable sources. Applicants with general experience related to these observatories, timing variability of compact sources, time domain methodologies generally, machine learning techniques, OR complexity analysis/nonlinear dynamics are particularly well-matched to the opportunity, but applicants with theoretical expertise related to compact object variability or the aforementioned methodologies are also encouraged to apply.
The Villanova Physics Department is dedicated to excellence in teaching and research, and we recognize the importance of involving our undergraduates in cutting-edge research. We are particularly interested in candidates who can contribute in such an atmosphere. Successful candidates will take advantage of opportunities to mentor students in research and in career development. Postdoctoral researchers in the Physics Department also have the opportunity to gain compensated teaching experience in college classrooms. The position is planned for two years, with additional years contingent on the availability of funding.
Villanova is a Catholic university sponsored by the Augustinian Order. The University is an equal opportunity employer and seeks candidates who understand, respect and can contribute to the University's mission and values.
Duties and Responsibilities:
Duties: Analyze/simulate and interpret timing variability of accreting compact sources. Help supervise and mentor students working on related topics. Teach physics, if desired.
Minimum Qualifications:
PhD (or imminent defense) in Astrophysics, Physics, Math/Statistics, or related field
Preferred Qualifications:
Strong interest and expertise in high-energy astrophysics, particularly in timing analysis
Physical Requirements and/or Unusual Work Hours:
Special Message to Applicants:
Review of applications will begin on 7/23 and will continue until the position is filled.
Applications should be submitted to
jobs.villanova.edu/positionwith:
- a cover letter
- a 3-page statement of research interests
- a CV with publication list
- "Statement of Mission." The statement of mission is a 1-page document detailing the applicant's intended contributions to the University Mission and Enduring Commitments (found here: https://www1.villanova.edu/university/president/about-university.html).
- Contact information for at least three references, who will receive a secure email link to upload confidential letters of recommendation when the application is submitted.
The intended start date can be as early as September 1 (Fall 2025). For more information, please feel free to email Becka Phillipson at rebecca.phillipson@villanova.edu.
Posting Date:
07/07/2025
Closing Date (11:59pm ET):
Salary Posting Information:
Competitive.
Salary Band:
Job Classification:
faculty
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About Villanova University
Sourced by ZipRecruiter
Villanova University, located in Villanova, Pennsylvania, United States, operates within the higher education industry. Its establishment traces back to 1842 by the Augustinians, a Catholic religious order. The university offers a wide range of academic programs in various disciplines, including Liberal Arts and Sciences, Engineering, Nursing, Business, and Law, serving over 10,000 undergraduate, graduate, and law students. Guided by its Augustinian Catholic intellectual tradition, it is committed to community service, and it seeks to cultivate knowledgeable, thoughtful, and ethical leaders. The university’s mission is to empower students to ignite change, with a vision for a just and peaceful world.
Industry
Colleges, universities, and professional schools
Company size
1,001 - 5,000 Employees
Headquarters location
Villanova, PA, US
Year founded
1842