CCNR

1: List Date: 2013-05-15
Position Title: Postdoctoral Position
Research Area(s): basic and applied machine learning
Organization: UCSD is a world center for research in machine learning, and the successful applicant will have the opportunity to collaborate with a wide range of other researchers. Taking initiatives and working on other themes in addition to the Intel project will be encouraged. Applicants with interests in probabilistic methods, neural networks, computational social science, computational finance, and computational biology are especially welcome.
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Description: The computer science department at the University of California, San Diego (UCSD) is looking for an outstanding postdoctoral scholar to do research in basic and applied machine learning. The successful candidate will work closely with Professor Charles Elkan on an interdisciplinary project funded mainly by a gift from Intel. The funding is to support innovative analyses of massive data collected by Intel and its partners concerning how personal computers are used. This position is for an independent individual who is enthusiastic about launching a world-class research career. Applicants should have a strong record of high quality published research in machine learning and/or related fields. They should be motivated to be the main author of papers to be published at top venues such as JMLR and PNAS. They should also have strong implementation skills and be eager to develop well-engineered software for use by practitioners and by other researchers. How to Apply: Applicants must possess a doctorate in computer science or a related area. There are no restrictions on citizenship, and applicants from leading universities outside the U.S. are welcome. The starting date can be as soon as July 1, 2013. Assuming strong performance, funding is expected to be available to extend the position. The salary will be competitive and UCSD benefits are excellent. Funds for professional travel will be available. Please send expressions of interest and applications to Charles Elkan at elkan@ucsd.edu, mentioning "Intel postdoc" in the email subject line. The review process will start immediately and will continue until the opening is filled. Leading applicants will be interviewed by video Skype and may be invited to visit in person. Location: San Diego, CA
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2: List Date: 2013-05-15
Position Title: Lectureship
Research Area(s): Applied Data Science (includes Machine Learning and Neural-Symbolic Systems)
Organization: Department of Computer Science City University London http://www.city.ac.uk/
URL: http://www2.i-grasp.com/fe/tpl_cityuniversity01.asp?KEY=62041602&C=348648368269&PAGESTAMP=sesvledaklnmckxtai&nexts=INIT_JOBLISTSTART&nextss=&mode=1&newQuery=yes&searchlocation=0&searchdivision=1946&searchpositiontype=0&searchjobgenerallist2id=0&searchindu
Description: Closing date: 10 June 2013 For information about the Machine Learning group at City University London please visit: http://ml.soi.city.ac.uk/ How to Apply: Location: London, England
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3: List Date: 2013-05-15
Position Title: Assistant or Associate Professor
Research Area(s): developing methodology that leverages large-scale data for sociological research
Organization: The Department of Sociology is located on the main Seattle campus, as is the eScience Institute. The Department has a history of collaborative ventures, enabling cross-department and interdisciplinary collaborations and initiatives. The University of Washington was awarded an Alfred P. Sloan Award for Faculty Career Flexibility in 2006. In addition, the University of Washington is a recipient of a National Science Foundation ADVANCE Institutional Transformation Award to increase the participation of woman in academic science and engineering careers. We are building a culturally diverse faculty and encourage applications from women and minority candidates. The University of Washington is an affirmative action, equal opportunity employer.
URL: http://www.washington.edu/admin/acadpers/ads/aa3443.html
Description: The Provost of the University of Washington has launched a major effort focused on Data-Driven Discovery, with a commitment to hire several new faculty in this area. In support of this effort, the Department of Sociology is seeking an assistant rank or an associate rank candidate for one tenure-track or tenured faculty position at the University of Washington. The position will be a full-time appointment in Sociology. The position will include participation, including teaching, in the UW eScience Institute as part of the appointment. We encourage applications from exceptional candidates who can address the initiative’s goal of conducting cutting-edge research on methodologies for data driven discovery and who will help provide teaching and outreach to place advanced methodological tools and techniques into the outstanding core of researchers at the University of Washington. The substantive sociological areas of interest and research are open, but successful candidates will likely be developing methodology that leverages large-scale data for sociological research. We expect candidates to have a strong commitment to both research and teaching. Experience with on-line course development and/or hybrid teaching is desirable but not required. The position will be open to individuals at either the assistant or associate level; appointments as Assistant Professor or Associate Professor will be commensurate with the candidate’s qualifications and experience. Applicants must have earned a PhD by the date of appointment. All University of Washington faculty engage in teaching, research and service. How to Apply: Applications should include a letter of application, complete curriculum vitae, a statement of research and teaching interests, and the names of at least four references. Electronic submissions of candidate materials as one pdf file should be e-mailed to socjobs@uw.edu. Applications received by May 26, 2013, will be given priority consideration. Open positions are contingent on funding. Location: University of Washington, Seattle, WA
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4: List Date: 2013-04-29
Position Title: Postdoctoral Position
Research Area(s): Network Medicine
Organization:
URL: http://barabasilab.neu.edu/people/yangliu/Openings.html
Description: The Channing Division of Network Medicine (CDNM) at Brigham and Women’s Hospital and Harvard Medical School is looking for exceptional candidates to fill two postdoctoral positions in Network Medicine, a rapidly developing field that applies systems biology and network science to human diseases. The research will be done under the mentorship of Dr. Yang-Yu Liu, with opportunities for collaboration with other faculty in CDNM who have expertise in statistics, bioinformatics, epidemiology, genetic epidemiology, and genomics of complex human diseases. CDNM is the home of the ongoing Nurses’ Health Study, with 35 years of follow-up and repeated detailed information on diet and lifestyle from 120,000 women. From this and many other cohorts, CDNM has DNA samples from more than 200,000 individuals. CDNM also has extensive computer resources. The successful applicants are expected to have a strong background in one or more of the following fields: genomics, biostatistics, bioinformatics, machine learning, computational biology, statistical physics and network science. Excellent organizational and interpersonal skills, along with a stated interest in network medicine research, are essential. Computer programming and analytic experience with large datasets is a plus. How to Apply: Please send your application consisting of a Cover Letter, Curriculum Vitae, Research Statement (as one single PDF file), and three Letters of Recommendations (sent directly from the letter writers) to yangliu61@gmail.com before July 1st, 2013. Location: Boston, MA
Listed by: Yang-Yu Liu
Email: Yang-Yu Liu

5: List Date: 2013-03-18
Position Title: Growth Lab Observatory Research Fellow
Research Area(s): data visualization and design to support web development projects
Organization: The Center for International Development at Harvard University (CID) is recognized as a global leader in research to adance human well-being and economic progress in the developing world by expanding the understanding of development challenges and offering viable solutions to global poverty.
URL: www.cid.harvard.edu
Description: The successful candidate will work alongside research fellows and senior academics in a fast paced, energetic environment to advance CID’s web based tool kit such as the ‘Observatory’ (www.cid.harvard.edu/atlas) and the ‘Aid Explorer’ (http://www.atlas.cid.harvard.edu/aidxp). The target audiences for these tools are government and business leaders, policymakers and academics, who are typically unfamiliar with interactive systems. Therefore, this individual must be able to successfully translate economic growth research into web based tools. The programmer should also be able to connect the capabilities and data of the tools to the actual needs and questions of users, and use his/her creative understanding of design so that users can easily get the most out of the tools. Basic Qualifications Candidates will have 2-3 years demonstrated web development and human machine interactions experience and interest. Required programming experience: The candidate should have a solid foundation in web design and web development technologies and experience with the following: · Javascript libraries D3 and jQuery · XHTML5, CSS3 · Python and Django · MySQL database accessThe required design skills should encompass: · Illustrator · Indesign · Photoshop How to Apply: Strong candidates will have a strong graphic design background and interest in issues of international development in addition to programming skills. Ability to prioritize tasks, handle multiple projects simultaneously, produce deliverables on time, adapt and learn quickly, and all with a good sense of humor, are desired qualities. The position is full-time. Interested candidates should send cover letter, CV with links to examples of successfully completed web design project(s) utilizing the listed skills to Jennifer Gala at cid@hks.harvard.edu. Location:
Listed by: Jennifer Gala
Email: Jennifer Gala

6: List Date: 2013-01-31
Position Title: Research Staff Member
Research Area(s): social, cognitive, and network science
Organization:
URL: https://jobs3.netmedia1.com/cp/faces/job_summary?st=6316&job_id=RES-0540653
Description: The Social, Cognitive and Network Science department at the IBM T. J. Watson Research Center is seeking Research Staff Members to conduct fundamental and applied research in the Computational Social Science and Computational Cognitive Science. Our projects focus on multi-modality understanding of Big Data of People. These projects offer the opportunity to work with the 30+ team members with backgrounds in Signal Processing, Network Science, Machine Learning, Information Retrieval, Natural Language Processing, High Performance Computing, Visualization, Economics, Database, etc., as well as collaborating with our 10+ university partners and IBM worldwide labs. Our lab has access to large compute resources and data. How to Apply: We are recruiting world-class scientists with multi-disciplinary backgrounds in computer science, physics, psychology, electrical engineering, or related fields. Successful candidates will be the ones with visionary research credentials who can advance emerging sciences to the next level. Doctoral Degree is required. If you are interested, please apply to the job posting at: https://jobs3.netmedia1.com/cp/faces/job_summary?st=6316&job_id=RES-0540653 Location: Yorktown Heights, NY
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7: List Date: 2012-11-06
Position Title: Postdoctoral Research Associate
Research Area(s): Complex Networks, Social Dynamics, Statistical Physics, Computer Science
Organization: For current research at the Center see: http://scnarc.rpi.edu/ http://www.rpi.edu/~korniss/ http://www.cs.rpi.edu/~szymansk/
URL: http://scnarc.rpi.edu/
Description: Rensselaer Polytechnic Institute has a postdoctoral opening in our group at the Social Cognitive Networks Academic Research Center (SCNARC), starting in January, 2013 or thereafter, in social and information networks. The projects will focus on information dynamics, social dynamics, and influencing in complex networks. Candidates should have a recent Ph.D, a background in statistical physics, computer science, or related areas, and solid experience in computational modeling, simulations, and data analysis. How to Apply: Applicants should send a CV, including list of publications and list of three references, to Prof. G. Korniss, korniss@rpi.edu. Location: Rensselaer Polytechnic Institute, Troy, New York
Listed by: Prof. G. Korniss
Email: Prof. G. Korniss

8: List Date: 2012-11-02
Position Title: Junior Faculty Position
Research Area(s): complex networks and systems
Organization: The School of Informatics and Computing is the first of its kind and among the largest in the country, with unsurpassed breadth. It includes more than 70 faculty members, 600 graduate students, and strong undergraduate programs. Degrees offered include M.S. degrees in Computer Science, Bioinformatics, Human Computer Interaction Design, and Security Informatics, and Ph.D. degrees in Computer Science and in Informatics. The School has received public recognition as a "top-ten program to watch" (Computerworld) thanks to its excellence and leadership in academic programs, interdisciplinary research, placement, and outreach. The school offers excellent work conditions, including attractive salaries and research support, and low teaching loads in a setting of strong student growth. Located in the wooded rolling hills of southern Indiana, Bloomington is a culturally thriving college town with a moderate cost of living and the amenities for an active lifestyle. IU is renowned for its top-ranked music school, high performance computing and networking facilities, and performing and fine arts.
URL: https://indiana.peopleadmin.com/postings/213
Description: The Center for Complex Networks and Systems Research (cnets.indiana.edu) currently has 9 faculty members with strong ties to several other units at Indiana University that pursue research in the field of Complex Systems, including Cognitive Science, Psychology, Physics, Biocomplexity, and Information Science. Center faculty research areas include complex networks, computational biology and epidemiology, artificial life and robotics, computational intelligence, bio-inspired computing, large scale data modeling and simulation, and Web applications. The Center is particularly interested in strengthening its emphasis on modeling the dynamics of complex systems and information networks, such as social and biological networks, as well as computational social science. How to Apply: Applicants should submit a curriculum vitae, a statement of research and teaching, and the names of 3 references. If possible applicants should apply through this online system (preferred). Applicants unable to submit online should mail to: Faculty Search Committee, School of Informatics and Computing, 919 E 10th Street, Bloomington, IN 47408, USA. Questions regarding this position may be sent to: faculty-search12@informatics.indiana.edu To receive full consideration completed applications must be received by December 1, 2012. Applicants should have a Ph.D. in any relevant field such as computer, systems, cognitive, physical, mathematical, economic, and information sciences and demonstrable potential for excellence in research and teaching. They are expected to conduct an independent research program, establish scientific collaborations with present members of the group, participate in joint grant efforts, teach relevant graduate and undergraduate courses, and mentor graduate students. Location: Indiana University - Bloomington, Indiana
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9: List Date: 2012-10-30
Position Title: Tenured or Tenure-Track Faculty
Research Area(s): applied mathematics or computational science, including computational mathematics and computational biology, and in multidisciplinary team research
Organization: The University of Notre Dame du lac
URL: https://www.mathjobs.org/jobs/jobs/4167
Description: The Department of Applied and Computational Mathematics and Statistics (ACMS) seeks to hire a tenured or tenure-track faculty member with research expertise in applied mathematics or computational science. The Department of Applied and Computational Mathematics and Statistics was formed in 2010 within Notre Dame’s College of Science. The department promotes research and teaching in applied mathematics, computational mathematics and applied statistics in an environment that fosters multidisciplinary collaborations. The founding members, who transferred from the Department of Mathematics, have research activities in mathematical biology, scientific computing, numerical analysis, and statistical bioinformatics. In 2011 and 2012, ACMS hired three assistant professors in statistics. The department offers undergraduate, masters and doctoral degrees. The successful applicant must have a doctorate in applied mathematics, mathematics, or a closely related field, and a record of success in both research and teaching. All candidates with expertise in applied mathematics or computational science, including computational mathematics and computational biology, who also have a record of success in multidisciplinary team research, will be considered. An appointment at the tenured level will require significant accomplishment in independent, externally funded, research. The teaching load in ACMS is 3 courses per year. The position begins in August 2013. The evaluation of candidates will begin in December 2012. How to Apply: Applications, including a cover letter, curriculum vitae and a completed AMS standard cover sheet, should be filed through MathJobs (www.MathJobs.org). Applicants should also arrange for at least three letters of recommendation to be submitted through the MathJobs system. These letters should address the applicant's research accomplishments and supply evidence that the applicant has the ability to communicate articulately and teach effectively. For additional information about the position or ACMS, please contact the Department Chair, Steven Buechler, at buechler.1@nd.edu or visit http://acms.nd.edu. Notre Dame is an equal opportunity employer, and we particularly welcome applications from women and minority candidates. Location: South Bend, Indiana
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10: List Date: 2012-10-24
Position Title: PhD Researcher
Research Area(s): physicist / mathematician with an affinity for life sciences, or bioinformatician / systems biologist with mathematical flare
Organization: Institute of Food Research
URL: http://www.findaphd.com/search/projectDetails.aspx?PJID=40613
Description: Systems analysis of metabolism and growth functions in microbial pathogens is rapidly developing. The field of systems biology and microbial complexity has been enriched by genome-scale reconstruction of the biochemical reaction networks that underlie cellular processes. This network reconstruction process is based on a combination of genome sequence analysis, high-throughput network-wide and 'omics' data sets. A reconstructed network can point to potential points of intervention where metabolic redundancy is minimal or where regulatory signals are indispensable for survival. In this project we will focus on the network analysis of such biochemical systems. The project will include the development of a database and a modelling platform, and will aim to integrate transcriptomic data for specific applications. Numerical results will be used to answer biological questions. The project will take place in the Gut Health and Food Safety programme at the IFR, and will include interactions with mathematical and experimental scientists. The ideal candidate for this challenging project is a physicist / mathematician with an affinity for life sciences, or bioinformatician / systems biologist with mathematical flare. The project will provide the student with in-depth analysis of genomic data deluge, with systems levels approaches, network science, dynamic modelling and complexity analysis. In particular, the candidate will need to be able to collect, interpret and synthesise in rigorous fashion information from in-house and online databases and is expected to develop his/her own modelling tools for analysing complex networks. In keeping with the postgraduate training policy of the Biotechnology and Biological Sciences Research Council (BBSRC) all students recruited onto this programme will be required to undertake a three months internship during the second or third year of their study. The internship will offer exciting and invaluable experience of work in an area outside of research, and full support and advice will be provided by a professional team from the UEA. How to Apply: For further information and to apply, please visit the DTP website: http://biodtp.norwichresearchpark.ac.uk/ Location: United Kingdom
Listed by: Prof JB Baranyi
Email: Prof JB Baranyi

11: List Date: 2012-10-15
Position Title: Postdoctoral Fellowships
Research Area(s): Experimental and Theoretical Biophysics
Organization: Center for the Physics of Living Cells
URL: http://cplc.illinois.edu/
Description: Several postdoctoral fellowship opportunities for the coming academic year, starting September 2013, in experimental and theoretical biophysics in the "Center for the Physics of Living Cells" (CPLC), a National Science Foundation Physics Frontier Center at the University of Illinois, Urbana-Champaign. Research in the Center falls in one of four themes: (1) Maximizing information content of single molecule experiments; (2) Using synthetic nanostructures to mimic cellular environments; (3) Observing individual events within single cells; (4) Extending computation to biologically relevant timescales, and theory to greater biological realism. Fellows will be using state-of-the-art experimental and theoretical biophysical tools to accomplish these goals: optical tweezers, single-molecule and super-resolution fluorescence microscopy, fabrication of synthetic nanostructure, live cell imaging, chemical biology and genomic biology tools, microscopic and coarse-grained molecular simulations, stochastic modeling, whole cell simulations, as well as the standard methods of molecular and cellular biology and genetics. Research will involve both the development and improvement of experimental and computational techniques and the application of these techniques to particular biological processes such as replication, transcription, translation, cell transport, signaling, and motility. As projects are collaborative endeavors between several labs, the Fellows will have the opportunity to be jointly advised by two or more faculty members of the Center. How to Apply: Interested applicants should apply via https://my.physics.illinois.edu/join/ no later than December 1, 2012. Applications should include: cover letter, curriculum vita, research statement, publications list, and contact information for three references. Applications received after the December 1st deadline may not be considered. A full job description can be found at: http://www.cplc.illinois.edu/opps/postdocs.asp . Location: University of Illinois, Urbana-Champaign
Listed by: T. Ha and K. Schulten
Email: T. Ha and K. Schulten

Barabási Lab / Center for Complex Network Research at Northeastern University * 111 DA/Physics Dept. * 110 Forsyth Street * Boston, MA 02115