[Topic-models] Faculty positions at UMass Amherst: junior & senior openings in data science

Andrew McCallum mccallum at cs.umass.edu
Mon Oct 3 07:54:21 EDT 2016

UMass Amherst Computer Science is hiring faculty in data science broadly this year and for multiple years to come---at both the junior and senior levels.

5 openings in data science this year; 12+ openings over the coming several years; (there are additional faculty openings in other areas this year, as well).

I am chairing data science faculty recruiting.  I would be happy to receive email from anyone interested and to answer further questions. 


Please forward this message to anyone who might be interested.

Andrew McCallum
Professor; Director, Center for Data Science
College of Information and Computer Sciences
UMass Amherst


data science, broadly:
 machine learning & decision-making, broadly
 systems & scalable data management, broadly
 theory & algorithms for big data, broadly
...non-exclusive list of examples:

algorithms for big data
artificial intelligence & ML with big data
decision processes and reinforcement learning
deep learning
distributed systems
game theory, mechanism design
learning theory
parallel-distributed machine learning
probabilistic programming
scalable probabilistic inference
statistical machine learning
visualization, interpretable ML, and data exploration

crowd sourcing and human computation
images & video
information integration
natural language processing
sensor networks and wearable sensors
social networks and computational social science

agriculture, climate, ecology and sustainability
computational economics
computational biology & bio-medicine
health analytics
internet of things
cities & regions


Our Department has become a College and we are dramatically growing our current set of ~50 faculty.  UMass CS is highly ranked in AI, exceptionally collaborative, and has long-standing broad interests touching many areas of data science.  Selected current faculty include:
* Justin Domke (ML & optimization)
* Sunghoon Ivan Lee (mobile & personalized health)
* Phillipa Gill (networking & security)
* Akshay Krishnamurthy (statistical machine learning)
* Arya Mazumdar (information theory)
* Joydeep Biswas (robotics)
* Subhransu Maji (computer vision & ML)
* Brendan O'Connor (NLP and computational social science)
* Barna Saha (algorithms & data management)
* Alexandra Meliou (databases, analytics & causality)
* Yuriy Brun (software engineering & analytics)
* Dan Sheldon (computational ecology & ML)
* Evangelos Kalogerakis (graphics & ML)
* Ben Marlin (ML, health analytics)
* Deepak Ganesan (sensor and mobile networks, wearable health)
* Yanlei Diao (databases)
* Gerome Miklau (databases & privacy)
* Andrew McGregor (algorithms)
* Rui Wang (graphics)
* Erik Learned-Miller (computer vision & ML)
* David Jensen (data mining & causality)
* Andrew McCallum (information extraction & ML)
* Brian Levine (security)
* Sridhar Mahadevan (ML, RL & manifolds)
* Prashant Shenoy (distributed systems, cloud computing)
* Ramesh Sitaraman (theory & parallel/distributed systems)
* Shlomo Zilberstein (AI)
* James Allan (information retrieval)
* Beverly Woolf (intelligent tutoring systems)
* Rod Grupen (robotics)
* Jim Kurose (networking, on leave as head of NSF CISE)
* Neil Immerman (complexity theory)
* Bruce Croft (information retrieval)
* Don Towsley (networking)


The College of Information and Computer Sciences at the University of Massachusetts Amherst invites applications for multiple tenure-track faculty positions in Computer Science for the 2017-2018 academic year. Applicants must have a Ph.D. in Computer Science or a related area, and should show evidence of exceptional research promise. 

Multiple openings are available for Assistant and Associate level Professors in the broad field of Data Science. One position in particular, at the Assistant Professor level, will focus on the subarea of Systems for Data Science. Under exceptional circumstances, highly qualified candidates at other ranks may receive consideration for these openings. Our college is highly supportive of junior faculty, providing both formal and informal mentoring. Many of our faculty are involved in interdisciplinary research, working closely with other departments including statistics/mathematics, linguistics, electrical and industrial engineering, biology, physics, behavioral sciences, economics, political science, and nursing, as well as new green initiatives. Amherst, a historic New England town, is the center of a vibrant and culturally rich area that includes five colleges. For more information about our college, visit https://cics.umass.edu. 

All applicants should submit a cover letter, curriculum vitae, research statement, and statement of teaching interests. Applicants at the Assistant Professor level should submit the names and contact information for three references and links to two papers that best represent their research/experience, using the submission link specific to the position. Applicants at the Associate Professor level should submit the names and contact information for four references and links to three papers that best represent their research/experience, using the submission link specific to the position. 

https://umass.interviewexchange.com/jobofferdetails.jsp?JOBID=75312 (Assistant Professor Data Science)
https://umass.interviewexchange.com/jobofferdetails.jsp?JOBID=75213 (Associate Professor Data Science)
https://umass.interviewexchange.com/jobofferdetails.jsp?JOBID=75221 (Assistant Professor Data Science Systems) 

Review of applications for the general Data Science openings will begin on October 17, 2016. Review of applications for the Data Science Systems opening will begin on December 15, 2016. We will continue to accept and review applications for all positions through the spring. Rank and salary will be highly competitive and commensurate with qualifications and experience.  Inquiries and requests for more information can be sent to:
facrec at cs.umass.edu.

The university is committed to active recruitment of a diverse faculty and student body. The University of Massachusetts Amherst is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans, and individuals with disabilities and encourages applications from these and other protected group members. Because broad diversity is essential to an inclusive climate and critical to the University's goals of achieving excellence in all areas, we will holistically assess the many qualifications of each applicant and favorably consider an individual's record working with students and colleagues with broadly diverse perspectives, experiences, and backgrounds in educational, research or other work activities. We will also favorably consider experience overcoming or helping others overcome barriers to an academic degree and career.

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