Graduate Research Assistantship Opportunities

The College of IST offers various research assistantships for graduate students studying at University Park. Opportunities are added throughout the year and are coordinated by the listed faculty member. If you have questions about an assistantship, please reach out to the contact listed on that entry.

All Ph.D. students are funded through their first and second semesters in the form of research assistantships, teaching assistantships, or fellowships. Graduate assistantships include a stipend sufficient to cover living expenses in the region, full tuition coverage, and health benefits. While we cannot guarantee funding beyond this first year, we have historically been able to fund students through at least their fourth year in the program, so long as they are making acceptable academic progress.

Financial support for M.S. students is not guaranteed. In special circumstances where there are research or teaching support needs, an M.S. student may receive funding in the form of a part-time wage payroll position for up to 20 hours per week. Positions terminate at the conclusion of each semester and carry no guarantee of renewal.

For other financial aid, contact the Office of Student Aid for information on loans and grants or the Office of Graduate Fellowships and Awards for information on internal and external fellowships.

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NSF-funded PhD/Masters research assistantship - Data Science - ML & NLP
Dr. Sarah Rajtmajer is looking for a graduate student to lead a NSF-funded project developing novel approaches to analyze bibliometric data from the NSF. The Visualizing and Enlarging the Statistics of Publication Information under Dynamics (VESPID) project will combine state-of-the-art publication and bibliometric analysis with the unique Survey of Doctorate Recipients (SDR) dataset, as well as patents and leading publication indicators.  The successful candidate will have experience in network science, natural language processing and machine learning, and have experience and ability to manage big data.   
Research Area(s):
Artificial Intelligence and Big Data
Position Start Date:
Contact:
Research Assistantships in Algorithmic Fairness
Vasant Honavar, Sarah Rajtmajer, Daniel Susser and Jose Soto seek qualified PhD students with interest in both computational and socio-technical aspects of algorithmic fairness. The project aims to: Define and characterize causal algorithmic fairness criteria; Operationalize causal algorithmic fairness criteria; Empirically assess the effectiveness of tests of causal algorithmic fairness criteria; Empower stakeholders to recognize algorithmic unfairness; and conduct  case studies with several real-world applications. Successful applicants are expected to have a strong background in Artificial Intelligence or Data Sciences (e.g., machine learning, causal inference), or experience in designing and conducting human-subject studies.
Research Area(s):
Artificial Intelligence and Big Data, Human-Computer Interaction, Social and Organizational Informatics
Position Start Date:
Research Assistantships in Predictive and Causal Modeling of Health Risks and Health Outcomes
Vasant Honavar is looking for graduate students to join an interdisciplinary collaborative project on the predictive and causal modeling of health risks and health outcomes. The project involves integrative analysis of disparate types of health data, including data from electronic health records. The complex nature of the data. offers many opportunities for innovation in machine learning (e.g., predictive modeling from longitudinal data, predictive modeling from ultra high dimensional data; causal inference from longitudinal data, explaining the predictions of predictive models, etc.). Successful applicants will have a strong background in machine learning or causal inference, combined with an interest to immerse themselves in applications of AI to advance health research and healthcare practice.
Research Area(s):
Artificial Intelligence and Big Data
Position Start Date:
Summer Research Assistantships in Artificial Intelligence for Materials Discovery, Design, and Synthesis
Vasant Honavar is seeking qualified applicants to join a multi-university, multi-disciplinary team pursuing research on Artificial Intelligence for accelerating science, with particular emphasis on materials discovery. Successful applicants are expected to have a strong background in machine learning and an ability to work with researchers with expertise in emerging data-intensive domains such as material science; and will be able pursue exploratory research involving the development and applications of advanced machine learning and related artificial intelligence and data sciences methods and their applications to materials discovery, design, and synthesis.
Research Area(s):
Artificial Intelligence and Big Data
Position Start Date:
Fully funded PhD/Master positions focusing on Embodied Interactions with Immersive Environment
The College of Information Sciences and Technology, in collaboration with The Center for Immersive Experiences (https://immersive.psu.edu/), invites aspiring students to apply for multiple open PhD and Master positions in the area of Embodied Interactions with immersive environments (augmented, mixed, and virtual reality). Successful candidates will conduct dissertation research in the area of designing immersive environment, natural speech and full-body gesture interactions, mixed-initiative and conversational dialogues, as well as their integration. The positions include admissions to Ph.D. or Master programs in Informatics and full funding (stipend, tuition and benefits) for the period of their study (four years for PhD students and two-year for master’s students).   For more information, visit the following website and contact Dr. Guoray Cai (gxc26@psu.edu).
Research Area(s):
Artificial Intelligence and Big Data, Human-Computer Interaction
Position Start Date:
Contact: