Skip to main content
School of Engineering

Computer Science Employment Opportunities

Faculty positions

Full-time faculty

Assistant professor (tenure-track)

Position description:

The Department of Computer Science at Tufts University invites applications for multiple tenure-track faculty positions to begin in September 2018. We are seeking candidates at the rank of Assistant Professor but exceptional candidates at the rank of Associate or full Professor will also be considered. We are especially interested in candidates with research in Artificial Intelligence/Machine Learning/Robotics, Security, and Systems for Data Science, where these areas are broadly construed. Exceptional candidates in other areas will be considered as well.

We are looking for engaged and engaging researchers and teachers with a strong vision who can build and maintain a high-quality research program at Tufts and whose research will both connect with some of our current faculty and extend into new areas.

Artificial Intelligence: We seek candidates to complement the department's strengths in artificial intelligence, machine learning, robotics, and human-robot interaction. We are especially interested in candidates bridging research in machine learning, natural language understanding, and robotics but candidates in all areas of AI are encouraged to apply.

Security: We seek candidates to complement the department's strengths in language-based security, cybersecurity policy, and privacy. Areas of particular interest include network security, systems security, security of IoT systems, and resilience, but candidates in all security-related areas are encouraged to apply.

Systems for Data Science: We seek candidates to complement the department's strengths in system management for big data, networking, programming languages, visual analytics and human-computer interaction. Applicants in all areas of systems for big data (that enable the collection, storage, computation, retrieval, enrichment, interaction, analysis, communication, and human understanding of large amounts of data) are encouraged to apply.

The department has grown significantly in the past decade in faculty and student size and in research funding. Located in the Boston area, the department benefits from outstanding undergraduate and graduate students, collaborative faculty, and cross-disciplinary research opportunities. Tufts University is one of the smallest universities ranked as a Research 1 university, so it offers the best of a liberal arts college atmosphere coupled with the intellectual and technological resources of a major research university. Tufts University supports and encourages a culture of interdisciplinary research and there are numerous such opportunities within the School of Engineering, School of Arts and Sciences, the Fletcher School of Law & Diplomacy, and our other graduate and professional schools.

The Tufts School of Engineering distinguishes itself by the interdisciplinary focus and integrative nature of its engineering education within the intellectually rich environment of a research university. Located only six miles from historic downtown Boston, faculty members on the Tufts Medford/Somerville campus have extensive opportunities for academic and industrial collaboration as well as participation in the rich intellectual life of the area. The School of Engineering is in the midst of a period of exciting growth that has seen the recruitment of outstanding new faculty, a quadrupling of funded research over the last ten years, the addition of new buildings and laboratory space, an emphasis on building diversity in engineering, and major curricular initiatives at both the undergraduate and graduate levels.

Qualifications:

Applicants must hold a doctorate by the beginning of the appointment, must have an active research program, must show promise of continued outstanding research activity, and must exhibit a strong commitment to excellence in teaching.

Expertise in Artificial Intelligence/Machine Learning/Robotics, Security, or Systems for Data Science is preferred.

Application Instructions:

Please submit your application online through Interfolio at https://apply.interfolio.com/43666. We request the following: (a) a letter of application explaining your interest in Tufts and in this position, (b) your curriculum vitae, (c) a statement describing your current and planned research, (d) a statement of your teaching philosophy, (e) a sample of your scholarly work, and (f) three to five confidential reference letters.

Candidates are encouraged to demonstrate attention to diversity and inclusion as it relates to teaching, research, and scholarship throughout their application.

Review of applications will begin December 15, 2017 and will continue until the position is filled. For more information about the department or the position, please visit our web page. Inquiries should be emailed to ttsearch@cs.tufts.edu.

For assistance with Interfolio, please contact help@interfolio.com or call 877-997-8807.

Tufts University, founded in 1852, prioritizes quality teaching, highly competitive basic and applied research and a commitment to active citizenship locally, regionally and globally. Tufts University also prides itself on creating a diverse, equitable, and inclusive community. Current and prospective employees of the university are expected to have and continuously develop skill in, and disposition for, positively engaging with a diverse population of faculty, staff, and students.

Tufts University is an Equal Opportunity/ Affirmative Action Employer. We are committed to increasing the diversity of our faculty and staff and fostering their success when hired. Members of underrepresented groups are welcome and strongly encouraged to apply. If you are an applicant with a disability who is unable to use our online tools to search and apply for jobs, please contact us by calling Johny Laine in the Office of Equal Opportunity (OEO) at 617.627.3298 or at Johny.Laine@tufts.edu.  Applicants can learn more about requesting reasonable accommodations at http://oeo.tufts.edu.

 

Lecturer (full time)

Position Description:

The Department of Computer Science in the School of Engineering at Tufts University invites applications for a full-time Lecturer position to begin in Spring 2018.

Candidates may have expertise in any area of computer science or a closely related field including but not limited to Algorithms, Complexity, AI, Analytics, Machine Learning, Databases, Distributed Systems, Computational Biology, Hardware-Software Interfaces, Human-Computer Interaction, Robotics, Mobile Development, Natural Language Processing, Power Management, Security, Software Development, Visualization, and Web Infrastructure and Design.

This is a full-time non-tenure-track position. The initial appointment term will be for two years with the possibility of renewal contingent on annual performance review results.

Tufts' School of Engineering distinguishes itself by the interdisciplinary focus and integrative nature of its engineering education within the intellectually rich environment of a research university. Located only six miles from historic downtown Boston, faculty members on the Tufts Medford/Somerville campus have extensive opportunities for academic and industrial collaboration as well as participation in the rich intellectual life of the area. The School of Engineering is in the midst of a period of exciting growth that has seen recruitment of outstanding new faculty, a quadrupling of funded research over the last ten years, addition of new laboratory space, an emphasis on building diversity in engineering, and major curricular initiatives at both the undergraduate and graduate levels.

The Department of Computer Science has grown significantly in the past decade in number of faculty and students, graduating over 125 majors annually. Located in the Boston area, the department benefits from outstanding undergraduate and graduate students, collaborative faculty, and cross-disciplinary research opportunities. Tufts University is one of the smallest universities ranked as a Research 1 university, and it offers the best of a liberal arts college atmosphere, coupled with the intellectual and technological resources of a major research university. Tufts University supports and encourages a culture of interdisciplinary research and there are numerous such opportunities within the School of Engineering, the School of Arts and Sciences, and through graduate and professional schools.

Qualifications:

The ideal Lecturer candidate will possess prior teaching experience, especially with undergraduate students, and have an engaging teaching style. The candidate must have a strong commitment to teaching and mentoring.

Candidates are encouraged to demonstrate attention to diversity and inclusion as it relates to teaching, research, and scholarship throughout their application.

A doctoral degree is preferred but not required.

Application Instructions:

We request that each application include the following materials: (a) a letter of application explaining the applicant’s interest in the position, (b) a curriculum vitae, (c) a statement of teaching philosophy, (d) at least three reference letters, and (e) a sample of material developed for the classroom, such as a syllabus, a homework assignment, or a laboratory exercise. Items (a) through (e) should be submitted online through Interfolio at https://apply.interfolio.com/42628.

Review of applications will begin October 15, 2017 and will continue until the position is filled. For more information about the department or the position, please visit our web page. Inquiries should be emailed to cssearch@cs.tufts.edu. For assistance with Interfolio, please contact help@interfolio.com or call 877-997-8807.

 

Part-time lecturers

The Department of Computer Science has an ongoing search for non-tenure track part-time lecturers.
 

Postdoctoral fellows

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.

Requirements:

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 matthias.scheutz@tufts.edu.