... full-time Assistant Professor position in the Research Track. This position is intended for ... Expertise is required in pharmacoepidemiology and in artificial intelligence, machine learning ...
... full-time Assistant Professor position in the Research Track. This position is intended for ... Expertise is required in pharmacoepidemiology and in artificial intelligence, machine learning ...
... Assistant Professor positions in the non-tenure research track. Expertise is required in the ... inference, machine learning, pragmatic trial designs with cluster-randomization methods, and ...
... Assistant Professor positions in the non-tenure research track. Expertise is required in the ... inference, machine learning, pragmatic trial designs with cluster-randomization methods, and ...
The Assistant Professor and Program Director of the Digital Humanities is a full-time, tenure-track ... machine learning, artificial intelligence, natural language processing, or related fields ...
The Assistant Professor and Program Director of the Digital Humanities is a full-time, tenure-track ... machine learning, artificial intelligence, natural language processing, or related fields ...
... Professor of Computer Science position, starting Fall 2026 or as mutually agreed. The successful ... We seek to integrate technologies such as artificial intelligence, machine learning, deep learning ...
... Professor of Computer Science position, starting Fall 2026 or as mutually agreed. The successful ... We seek to integrate technologies such as artificial intelligence, machine learning, deep learning ...
Associate Economist
Philadelphia, PA · On-site
... professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 ... and machine learning skills to assist with model development and economics and policy research ...
Associate Economist
Philadelphia, PA · On-site
... professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 ... and machine learning skills to assist with model development and economics and policy research ...
Our Adjunct Professors, who are typically active or retired industry professionals, constitute an ... Machine learning / artificial intelligence * Systems engineering * Cybersecurity, cyber-physical ...
Our Adjunct Professors, who are typically active or retired industry professionals, constitute an ... Machine learning / artificial intelligence * Systems engineering * Cybersecurity, cyber-physical ...
Our Adjunct Professors, who are typically active or retired industry professionals, constitute an ... Machine learning / artificial intelligence * Systems engineering * Cybersecurity, cyber-physical ...
Our Adjunct Professors, who are typically active or retired industry professionals, constitute an ... Machine learning / artificial intelligence * Systems engineering * Cybersecurity, cyber-physical ...
... Machines) is a significant plus. There may also be an opportunity to teach feminist philosophy if ... Dynamic teaching, active scholarship, personal attention and experiential learning are key ...
... Machines) is a significant plus. There may also be an opportunity to teach feminist philosophy if ... Dynamic teaching, active scholarship, personal attention and experiential learning are key ...
Continuing Non-Tenure-Track Teaching Faculty Position - Biomedical Engineering
Villanova, PA · On-site
Candidates will be considered for an Assistant or Associate Professor rank commensurate with their ... machine learning, artificial intelligence, numerical modelling, or physiology. The ideal candidate ...
Continuing Non-Tenure-Track Teaching Faculty Position - Biomedical Engineering
Villanova, PA · On-site
Candidates will be considered for an Assistant or Associate Professor rank commensurate with their ... machine learning, artificial intelligence, numerical modelling, or physiology. The ideal candidate ...
Machine Learning Professor information
What are the key skills and qualifications needed to thrive as a Machine Learning Professor, and why are they important?
To thrive as a Machine Learning Professor, you need deep expertise in machine learning algorithms, mathematics, and data science, typically supported by a Ph.D. in computer science or a related field. Familiarity with programming languages like Python and R, as well as tools such as TensorFlow, PyTorch, and academic research platforms, is essential. Exceptional communication, mentorship abilities, and enthusiasm for teaching help inspire and guide students and peers. These skills ensure effective research output, high-quality teaching, and the development of future leaders in the field.
How does a Machine Learning Professor typically balance research, teaching, and mentorship responsibilities?
Machine Learning Professors usually split their time between conducting original research, teaching undergraduate and graduate courses, and mentoring students. Balancing these responsibilities can be challenging, particularly when managing multiple research projects and supervising student theses. Professors often collaborate with industry partners and other academic departments, which enhances research opportunities but also adds to their workload. Effective time management and prioritization are key to thriving in this dynamic environment, and universities often provide some flexibility in teaching loads or research support to help maintain this balance.
What does a Machine Learning Professor do?
A Machine Learning Professor teaches university-level courses on machine learning, data science, and related topics. They conduct original research in the field, often publishing their findings in academic journals and presenting at conferences. In addition to lecturing, they mentor students, supervise theses or dissertations, and may collaborate with industry partners on research projects. Their work helps advance the understanding and applications of machine learning.
Assistant Professor (Ophthalmology Research Track)
University of PennsylvaniaPhiladelphia, PA • On-site
Full-time
Posted 17 days ago
University Of Pennsylvania rating
8.1
Based on 80 frontline employees who took The Breakroom Quiz
131st of 535 rated colleges and universities
Job description
Description
The Department of Ophthalmology at the Perelman School of Medicine at the University of Pennsylvania seeks outstanding candidates for a full-time Assistant Professor position in the Research Track. This position is intended for individuals with a strong commitment to independent research, with a particular focus on leveraging large-scale healthcare data to advance ophthalmic clinical research and patient care. A PhD, MD, and/or equivalent degree in epidemiology, biostatistics, data science, pharmaceutical sciences, health services research, or a related field is required. Expertise is required in pharmacoepidemiology and in artificial intelligence, machine learning methods, and in the analysis of large healthcare datasets (e.g., EHR, claims, or real-world data platforms such as TriNetX). Experience in ophthalmology or vision-related research is preferred but not required.
The selected candidate will develop and lead an innovative, externally funded research program utilizing large-scale data sources, including electronic health records (EHR), administrative health claims, and national or international research networks (e.g., TriNetX and similar platforms), to address critical questions in ophthalmology and vision science.
We are seeking candidates who can demonstrate:
Research responsibilities may include:
The Department of Ophthalmology provides a highly collaborative and interdisciplinary environment, with access to rich clinical data resources, institutional data warehouses, and established partnerships across the University of Pennsylvania. The selected candidate will have opportunities to engage with leading programs in biomedical informatics, population health, and translational science.
The Department of Ophthalmology at the Perelman School of Medicine at the University of Pennsylvania seeks outstanding candidates for a full-time Assistant Professor position in the Research Track. This position is intended for individuals with a strong commitment to independent research, with a particular focus on leveraging large-scale healthcare data to advance ophthalmic clinical research and patient care. A PhD, MD, and/or equivalent degree in epidemiology, biostatistics, data science, pharmaceutical sciences, health services research, or a related field is required. Expertise is required in pharmacoepidemiology and in artificial intelligence, machine learning methods, and in the analysis of large healthcare datasets (e.g., EHR, claims, or real-world data platforms such as TriNetX). Experience in ophthalmology or vision-related research is preferred but not required.
The selected candidate will develop and lead an innovative, externally funded research program utilizing large-scale data sources, including electronic health records (EHR), administrative health claims, and national or international research networks (e.g., TriNetX and similar platforms), to address critical questions in ophthalmology and vision science.
We are seeking candidates who can demonstrate:
- A strong record of peer-reviewed publications.
- Evidence of, or strong potential for, securing independent research funding.
- Excellent communication and collaboration skills.
Research responsibilities may include:
- Establish and sustain an independent, high-impact research program in ophthalmology using real-world data sources.
- Contribute to ophthalmology research through expertise in pharmacoepidemiology, real-world evidence generation, and advanced analytics using EHR and claims data.
- Lead and support both methodological and applied research, including the development and implementation of analyses integrating artificial intelligence and machine learning to evaluate treatment effectiveness and safety.
- Design and conduct studies using large-scale datasets, including EHR, claims databases, registries, and federated data networks.
- Perform and oversee programming and advanced statistical analyses using large, complex datasets.
- Collaborate with clinical faculty, data scientists, and interdisciplinary teams across the University of Pennsylvania.
- Contribute to manuscript preparation, publication, and dissemination of research findings in collaboration with project investigators.
- Secure extramural funding from federal agencies (e.g., NIH), foundations, and industry.
- Publish findings in high-impact peer-reviewed journals and present at national and international conferences.
- Mentor and supervise master-level biostatisticians in conducting statistical analyses of large-scale ophthalmic datasets.
- Mentor trainees, including fellows, residents, and graduate students.
The Department of Ophthalmology provides a highly collaborative and interdisciplinary environment, with access to rich clinical data resources, institutional data warehouses, and established partnerships across the University of Pennsylvania. The selected candidate will have opportunities to engage with leading programs in biomedical informatics, population health, and translational science.
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About University of Pennsylvania
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The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
Philadelphia, PA, US
Year founded
1740