We welcome applications from students interested in all areas of information science. PhD students work closely with a faculty advisor to become an expert in their chosen area of study. As you prepare your application, it might be helpful to read about our current projects, students and faculty to learn about the projects and groups that you might become involved with as a student. Faculty who advise Information Science PhD students include the following and many are looking for PhD students in the coming academic year:
Youth Information Behaviors
- Yuan An,
Data Integration & Healthcare
- Ellen Bass,
- Chaomei Chen,
Visual Analytics, Mapping Scientific Frontiers
- Andrea Forte,
HCI & Social Computing
- Susan Gasson,
- Jane Greenberg,
Metadata, Semantics, KO
- Gregory Hislop,
Software Engineering & Education
- Tony Hu,
Data Mining & Bioinformatics
- Weimao Ke,
- Xia Lin,
- Christopher MacLellan
- Danuta Nitecki,
Library & Information Science
- Jung-ran Park,
Knowledge Organization, CMC
- Alex Poole,
Archives and Digital Society
- Michelle Rogers,
Human Factors & Health Informatics
- Aleksandra Sarcevic,
HCI & Health Informatics
- Il-Yeol Song,
Data Science, Modeling and Design
- Rosina Weber,
Textual Knowledge Engineering
- Jake Williams,
Data Science, Analysis and Design
- Erjia Yan,
Scientometrics & Informetrics
- Christopher Yang
Data Science & Healthcare
Every year, there are research groups with specific funded positions, some of which are listed below. Faculty may also post open PhD research assistantships on their faculty or lab website.
Examples of open PhD research assistantship positions (admissions are not limited to these positions, but applicants in these areas are highly encouraged):
- Denise Agosto welcomes students interested in media use and analysis of qualitative data for a study of how parents and community professionals act as media mentors and educators for youth.
- Andrea Forte's Social Computing Research Group welcomes students who are generally interested in social computing issues, especially where they intersect systems and infrastructure design. Privacy and anonymity are current areas of growth. Click here for details.
- Aleksandra Sarcevic’s Interactive Systems for Healthcare (IS4H) Research Lab welcomes students interested in designing, developing and implementing health information technology. Our current projects focus on reducing delays in fast-response teamwork and on the effects of a concurrent digital checklist on time-critical team performance. Click here for details.
- Tony Hu welcomes students who are interested in data mining, data science & bioinformatics, social media analysis. Click here for details.
- Alex Poole welcomes students interested in archives, records management, digital preservation, digital curation, data curation, digital humanities, diversity, and social justice.
- Jake Williams' lab welcomes students who are focused on data science, especially with an interest in Natural Language Processing and Machine Learning for the design and analysis of social information processing systems.
- Chris Yang welcomes students who are interested in healthcare informatics, social computing, data analytics, knowledge discovery, pharmacovigilance, and cybersecurity. Click here for details.
Rosina Weber's TeX-Base Lab has five doctoral students, working on AI applications in the biomedical domain funded by NIH, DARPA and Vinnova, Sweden.
This position is for the National Institute of Health's (NIH) National Center for Advancing Translational Sciences (NCATS) Biomedical Data Translator where the team, in collaboration with the Tufts Medical Center (Tufts CTSI), is responsible for one of the Translator's autonomous relay agents. The activities of the team include executing biomedical queries, explaining results from AI methods and AI systems, utilizing metadata and APIs to connect to other NCATS agents often using knowledge graphs, improving the quality of natural language understanding models, automating biomedical database tasks, augmenting data for downstream natural language tasks for the biomedical domain, and conducting HSR investigations with potential Translator users.
Desired qualifications: Python, APIs.
Interests in (at least two or more): deep learning language models and their uses, CBR, knowledge graphs, biomedical sciences, biomedical ontologies.
Contact: Apply by submitting your CV by email with a brief message stating why you would like to join this project to email@example.com.
Learn more about the admissions requirements and application deadlines for the PhD in Information Science program.