Those of us who are following the development of the Data Science initiatives here at UCB may be interested in the following item. John ---------- Forwarded message ---------- From: Rajeev Raizada <rajeev.raizada@gmail.com> Date: Fri, Nov 8, 2013 at 8:53 AM Subject: [SIGSEM] Tenure-track jobs in Data Sci open at U.Rochester, including computational linguistics and machine learning To: members@sigsem.org 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 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@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@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. ___________________________ SIGSEM members mailing list: http://www.sigsem.org/wiki/Mailing_list