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Department of Computer Science

Employment opportunities

Faculty positions:

Field/Position Rank FT/PT
Cybersecurity, data science, and artificial intelligence/machine learning/robotics/human-robot interaction Assistant Professor (2) Full time
Open Lecturer Full time
Open Lecturer Part time


Staff positions:

Please check for staff opportunities in the Tufts Department of Computer Science.

Postdoctoral fellow positions:

Human-Robot Interaction Lab:

The Human-Robot Interaction (HRI) Laboratory at Tufts University under the direction of Professor Matthias Scheutz is looking for a two-year postdoctoral researcher to start immediately on an NSF-funded project aimed at developing robots for people with Parkinson's Disease (PD). The goal is to develop an architecture for a co-robot mediator between people with "facial masking" that reduces their ability to signal emotion, pain, personality and intentions to their family caregivers, and health care providers who often misinterpret the lack of emotional expressions as disinterest and an inability to adhere to treatment regimen, resulting in stigmatization. So far, we have developed and evaluated a robot that can conduct health questionnaires (Briggs et al. 2015) and aid in medication sorting tasks (Wilson et al. 2016). Next, we would like to develop the mediator robot that can listen in and observe interactions between caretakers and persons with PD to detect (based on the dialogues and background knowledge, and maybe other characteristics) when the interaction goes astray and intervene in the interaction in a way that preserves the dignity of the person with PD and maintains a working relationship with the caretaker.

We are looking for a highly motivated, energetic researcher who wants to leave a mark on the field of care robots by developing the next generation of social robots capable of understanding the dynamics of human interactions and intervening when they are not working out. The position is for two years, possibly renewable for another year with full benefits (including health and dental insurance, flexible spending accounts, and voluntary retirement plan). Salary is competitive, commensurate with experience.


The ideal candidate is a team player with demonstrated research and system building experience in social robots with natural language capabilities who will lead all algorithm and software development, disseminate research results in top-rate venues, and also help with the supervision of graduate students.

For questions about this position, please contact Professor Matthias Scheutz at