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Job ID: 135414

Assistant Professor/ Associate Professor
Tufts University


Date Posted Dec. 20, 2019
Title Assistant Professor/ Associate Professor
University Tufts University
Boston, MA, United States
Department School of Engineering: Computer Science
Application Deadline Open until filled
Position Start Date September 2020
 
 
  • Associate Professor
    Assistant Professor
  • Computer Engineering
    Computer Science
 
 
The Department of Computer Science at Tufts University invites applications for a tenure-track faculty position to begin in September 2020. We seek candidates at the rank of Assistant or Associate Professor. We are especially interested in candidates with research in Security, Human-Data Interaction, Theory, and Computational Statistics. Exceptional candidates in other areas will be considered as well.

We are looking for engaged and engaging researchers and teachers with a compelling vision who can build and maintain a high-quality research program at Tufts. We are interested in candidates whose research will connect with some of our current faculty while also extending into new areas. Our search will be organized under four broad umbrellas:

Security: We seek candidates who complement the department’s strengths in language-based security, cybersecurity policy, and privacy. Areas of particular interest include network security, systems security, resilience, and real world or applied cryptography, but candidates in all areas of security are encouraged to apply.

Human-Data Interaction: Effective use of big data requires synergy between algorithms, visualization techniques, and human insight. We aim to hire in human-data interaction to leverage our existing strengths in human-computer interaction (HCI) and big data visualization. Ideal candidates will have publication records both in HCI venues and other data-driven domains, including but not limited to databases, machine learning, high-performance computing, and others.

Theory: We welcome applications from exceptional candidates in theoretical computer science, with a preference for those whose research could connect to other department hiring priority areas and/or add strength to the Tufts-wide effort in foundations of data science. (Some example subareas of interest could include mechanism design, cryptography, quantum computing, algorithms for big data, or theoretical foundations of machine learning).

Computational Statistics: We seek candidates who develop high-impact methodologies to address the statistical and computational challenges of “big data,” including (but not limited to) causal inference, probabilistic modeling, and/or high-dimensional statistics. Ideal candidates will have strong publication records in statistics or statistical machine learning venues, as well as experience in applying novel methods to domain-specific problems (e.g., in physical sciences, life sciences, social sciences, and medicine). The candidate will become a crucial part of Tufts’ rapidly-growing Data Intensive Studies Center (DISC) and would have opportunities to work closely with data-science focused faculty from Computer Science, Mathematics, Life Sciences and Medicine, and Electrical & Computer Engineering.

The department has grown significantly in the past decade in faculty, student size, and research funding. 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, the School of Arts and Sciences, the Fletcher School of Law & Diplomacy, the School of Medicine, and our other graduate and professional schools.

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.



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 Security, Human-Data Interaction, Theoretical Computer Science, or Computational Statistics with a connection to other departmental priority areas is preferred.


Please submit your application online through Interfolio at https://apply.interfolio.com/66978. We request the following: (a) a cover letter 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 throughout their application their attention to diversity and inclusion as these topics relate to teaching, research, and engagement within the academic environment.

Review of applications will begin December 15, 2019 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 shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.


 
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