Connectionists: Tenure-track jobs in Data Sci open at U.Rochester, including comp.ling., comp.vision, comp.models of perception, machine learning

[Rajeev Raizada]

The University of Rochester has committed $50m to a new Data Science
initiative, and is conducting searches for multiple tenure-track
positions.
https://www.rochester.edu/news/show.php?id=7532

Focus areas include computational linguistics, computer vision,
computational models of human perception, and machine learning.

Full info about the jobs can be found here:
http://www.rochester.edu/rocdata/recruit/interdisciplinary
and is also pasted below.

Raj
---------------
Rajeev Raizada
Assistant Professor
Dept. of Brain & Cognitive Sciences
University of Rochester
Meliora Hall
Rochester, NY 14627
rajeev.raizada at gmail.com
http://raizadalab.org
---------------
Faculty Search for Interdisciplinary Research in Data Science

The University of Rochester has made data science the centerpiece of
its 5-year strategic plan, committing to 20 new faculty lines in
diverse areas, a new building, and the establishment of the Institute
for Data Science. We are currently seeking applicants for tenure track
positions in interdisciplinary research areas within data science.
This search complements department-specific searches in data science
currently underway; see
http://www.rochester.edu/rocdata/recruit/index.html for a summary of
all data science searches.

The interdisciplinary search focuses on recruiting candidates who are
excited about engaging in collaborative research that connects
advances in computational models and methods to other fields of
engineering or life, social, or physical sciences.  Successful
candidates will receive a primary appointment in one of the
departments supporting the search, and a secondary appointment in at
least one other department. Departments supporting this search are
Biomedical Engineering, Biology, Biostatistics & Computational
Biology, Brain & Cognitive Sciences, Chemistry, Computer and
Electrical Engineering, Computer Science, Earth & Environmental
Sciences, Economics, Linguistics, Mathematics, Physics & Astronomy,
and Political Science.

Focus areas for this year’s interdisciplinary search are:

Fundamental Methods in Machine Learning, Network Science, and Statistics

Research on general computational methods for constructing systems for
classification, prediction, classification, clustering, and related
tasks from large-scale data.  We are particularly interested in work
on analyzing complex relational data using network models.

Computational Linguistics, Computer Vision, and Computational Models
of Human Perception

Research in computational linguistics or computer vision, with a
particular interest in work that spans shallow and deep semantic
processing, and/or relates computational models to physiological
models of perception.  Candidates should have extensive experience
with natural corpora and other rich databases.

Computational Biology and Computational Bioengineering

Research on computational approaches to analyze large, complex data
sets in biology and biomedical engineering. Potential areas of
research may include functional and evolutionary genomics, proteomics
and protein folding, systems biology, multi-scale modeling in
bioengineering, or multimodal bio-imaging informatics.

Global Biogeochemistry

Research that integrates biotic (e.g. microbial), chemical, and
geological processes for an interdisciplinary research focus on
understanding global geochemical cycling processes and/or global
climate change. Applicants should have a strong computational and/or
modeling component to their research aimed at mining, integrating,
and/or interpreting large data sets.

Apply online for this search at:

https://www.rochester.edu/fort/rocdata/

Applicants should hold a PhD and will be required to supply a set of
refereed scholarly publications, names of references, and research and
teaching statements. The application asks applicants to select a focus
area and set of disciplines most relevant to their research area.
Review of applications at any rank will begin immediately and continue
until the positions are filled. For full consideration, applications
should be received by January 1st, 2014.  Please direct questions by
email to Melissa Singkhamsack (melissas at cs.rochester.edu).

The University of Rochester is a private, Tier I research institution
located in western New York State. It consistently ranks among the top
30 institutions, both public and private, in federal funding for
research and development. The university has made substantial
investments in computing infrastructure through the Center for
Integrated Research Computing (CIRC) and the Health Sciences Center
for Computational Innovation (HSCCI). The university includes the
Eastman School of Music and the University of Rochester Medical
Center, a major medical school, research center, and hospital system.
The greater Rochester area is home to over a million people, including
80,000 students who attend the 8 colleges and universities in the
region.

The University of Rochester has a strong commitment to diversity and
actively encourages applications from candidates from groups
underrepresented in higher education. The University is an Equal
Opportunity Employer.