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

Andrew McCallum mccallum at cs.umass.edu
Sun Nov 19 14:43:40 EST 2017


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.

Review of applications this season is continuing according to the typical CS timing: peaking in December and early January, with interviews starting in late January or early February 2018.

We have 5 openings in data science this year; 10+ openings over the coming several years; (there are additional faculty openings in other areas this year, as well, including a separate search in data science theory).

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

https://www.cics.umass.edu/job/assistantassociate-professor-positions-data-science <https://www.cics.umass.edu/job/assistantassociate-professor-positions-data-science>

Please forward this message to anyone who might be interested.

Best,
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:

Methods:
algorithms for big data
artificial intelligence & ML 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, interpretable ML, and data exploration

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

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


===============================================================

Our Department became a College in 2015 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:
* Mohit Iyyer (NLP & deep learning)
* Marco Serafini (distributed systems, databases)
* Rahman Tauhidur (mobile health, embedded systems, ML)
* Laura Haas (information integration, databases)
* Peter Haas (information management)
* 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, fairness)
* Yuriy Brun (software engineering, analytics, fairness)
* 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)
* 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)

===============================================================
ASSISTANT/ASSOCIATE PROFESSOR POSITIONS-DATA SCIENCE

About University of Massachusetts Amherst:
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 <https://cics.umass.edu/>.

Job Description:
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 2018-2019 academic year.  
Multiple openings are available for Assistant and Associate level Professors in the field of Data Science. Under exceptional circumstances, highly qualified candidates at other ranks may receive consideration for these openings.

Requirements:
Applicants must have a Ph.D. in Computer Science or a related area, and should show evidence of exceptional research promise.

Additional Information:
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 <mailto: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.

Application Instructions:
All applicants should submit a cover letter, curriculum vitae, research statement, and statement of teaching interests via the UMass website. 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. 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.
Review of applications will begin on September 28, 2017 for consideration during the fall 2017/winter 2018 hiring period.

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.cs.princeton.edu/pipermail/topic-models/attachments/20171119/83a1ce01/attachment-0001.html>


More information about the Topic-models mailing list