Connectionists: Faculty positions at UMass Amherst: junior & senior openings in data science

[Andrew McCallum]

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

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

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

https://www.cics.umass.edu/job/assistant-associate-professor-positions

Review of applications will begin on November 30, 2015, and will continue until the positions are filled.

Please forward this message to anyone who might be interested.

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

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

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

climate, ecology and sustainability
computational economics
computational biology & bio-medicine
education
eGovernment
energy
eScience
finance
health analytics
internet of things
manufacturing
cities & regions


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Our Department has become a College and we are dramatically growing our current set of ~40 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:
* 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 (graphical models, ML, health analytics)
* Hanna Wallach (computational social science & ML)
* 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)

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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 2016-2017 academic year. Applicants must have a Ph.D. in Computer Science or a related area, and should show evidence of exceptional research promise.  

Subareas of interest include 1) Security and Privacy and 2) Data Science. We are seeking talented applicants at both the assistant and associate professor levels.  Under exceptional circumstances, highly qualified candidates at other ranks may receive consideration. In a separately advertised search, we are also hiring in the area of wearable and mobile health sensing.

Computer Science at the University of Massachusetts Amherst is in the midst of a major expansion of its highly ranked program. Recent initiatives include its elevation to a College, creation of the Center for Data Science, and formation of the Cybersecurity Institute. 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 four other colleges. For more information, visit https://cics.umass.edu.

Applicants should submit a cover letter, a curriculum vita, research statement, statement of teaching interests, and the names and contact information for three references, using the submission link specific to the position.
https://umass.interviewexchange.com/jobofferdetails.jsp?JOBID=64843 (Security and Privacy)
https://umass.interviewexchange.com/jobofferdetails.jsp?JOBID=64842 (Data Science)

Review of applications will begin on November 30, 2015 and may continue until a suitable candidate pool has been identified. Rank and salary will be 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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