{"id":238,"date":"2014-11-18T18:07:33","date_gmt":"2014-11-18T17:07:33","guid":{"rendered":"https:\/\/site.uit.no\/arcticgreen\/?p=238"},"modified":"2014-11-18T19:40:38","modified_gmt":"2014-11-18T18:40:38","slug":"vacant-postdoc-position-in-computer-systems","status":"publish","type":"post","link":"https:\/\/site.uit.no\/arcticgreen\/vacant-postdoc-position-in-computer-systems\/","title":{"rendered":"Vacant Postdoc position in Computer Systems"},"content":{"rendered":"

Vacant Postdoc position in Computer Systems<\/a><\/p>\n

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Post doctoral research fellow in Computer Science at Department of Computer Science.<\/strong><\/p>\n

Application deadline: 28.11.2014<\/strong><\/p>\n

Applications shall be marked: Ref. 2012\/3776<\/strong><\/p>\n

The Department of Computer Science at University of Troms\u00f8 \u2013 The Arctic University of Norway (UiT) has a Postdoctoral Research Fellow position vacant.<\/p>\n

The position of Postdoctoral Research Fellow is a fixed term position for a period of three years. The primary objective of the appointment is for the research fellow to qualify for work in senior academic positions. No one may be appointed to more than one fixed term period as a Postdoctoral Research Fellow at the same institution.<\/p>\n

Further information about the position is available by contacting Head of Department Tore Brox-Larsen, phone +47 7764 4044, e-mail: tore@cs.uit.no<\/a>.<\/p>\n

For administrative questions, please contact the Department\u2019s administration;
\nphone +47 77 64 40 36, email: administrasjon@cs.uit.no<\/a>.<\/p>\n

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The position\u2019s affiliation<\/strong><\/p>\n

UiT is the largest research university in northern Norway with about 11,000 students and 2,600 employees. UiT is a founding member of the University of the Arctic, an international network of study and research institutions of the circumpolar region. Two hundred international agreements secure an active academic exchange of students and staff with partner institutions worldwide.<\/p>\n

The Department of Computer Science provides a strong international research environment with 12 tenured faculty members, 8 adjunct professors, 3 post doctors and researchers, 6 technical\/ administrative staff members and about 20 PhD students. The goal of the Department is to advance the research and teaching of computer science as a discipline, to demonstrate leadership within our areas of interest, and to contribute to society through our education, research and dissemination. More information available at http:\/\/uit.no\/informatikk\/<\/a>.<\/p>\n

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The position\u2019s field of work<\/strong><\/p>\n

Research at the Department of Computer Science is concerned primarily with technical aspects of computer science systems research of mobile, distributed and\/or parallel systems and applications. The research covers experimental development, application, analysis and testing of models, architectures, and mechanisms for mobile, embedded, distributed and\/or parallel applications. Scaling, performance, handling of large feature-rich datasets, heterogeneity, energy-efficiency, autonomy, and componentization are examples of concerns that we address. Application areas include high-performance computing, green computing, visualization, genomics, information search and filtering, health and health-care related systems. Research platforms include clusters, grids, display walls, mobile systems, embedded systems and cloud systems.<\/p>\n

Researchers are organized in five voluntary research groups, each with one leader<\/p>\n

The postdoctoral research fellow will have a primary supervisor among the department\u2019s regular full-time faculty (Prof. or Assoc. Prof.), and will work within one or more of the department\u2019s research groups. Depending on the specifics of the work, additional co-supervisors may be appointed internally or externally to the department.<\/p>\n

The Arctic Green Computing (AGC) research group aims at addressing energy efficiency, system complexity and dependability across mobile, embedded and data-center systems. The group current research interests include novel execution models forming foundations for a paradigm shift from energy \u201cblind\u201d to energy \u201caware\u201d software development and, at the same time, facilitating programming productivity on energy-efficient computing systems. The group research has been funded by European Commission (FP7), Norwegian Research Council (FRIPRO) and UiT. The group is the leader of the work package on energy-ef\ufb01cient data structures and algorithms in EU FP7 ICT project EXCESS<\/a> (2013 \u2013 2016), the Norwegian representative in the Management Committee of the EU COST Action Euro-TM<\/a> on concurrent programming abstractions (2011 \u2013 2015) and the project leader of Norwegian FRIPRO project PREAPP<\/a> on productivity and energy efficiency (2014 \u2013 2017).<\/p>\n

The High Performance Distributed and Parallel Systems group (hpds.cs.uit.no<\/a>, bdps.cs.uit.no<\/a>) does systems research on distributed and parallel systems. Topics of interest to the group includes scalable concurrency, composition of parallel programs, visualization and analytics of big data, systems support for multi-computer human-computer interfaces, and collaborative systems and cross-platform resource sharing. The HPDS group applies several methods and techniques including machine learning, interactive big data analytics, visual big data analytics, and advanced statistical and mathematical models. The group develops extensive prototypes, and does performance measuring experiments on them with the purpose of documenting their characteristics and understanding their scalability and applicability. The group has several cross-disciplinary projects nationally and internationally including on meteorology, bioinformatics, and medicine. The group has two laboratories, the Troms\u00f8 Display Wall Laboratory, and the Biological Data Processing Systems Laboratory.<\/p>\n

The Information access (IA) group focuses on cloud based information access systems and scalable platforms for multimedia applications. Of particular interest are fundamental structures and concepts supporting scalability, fault-tolerance, self-management, and security and privacy in cloud environments. Investigations are made on the entire software stack, from operating systems, lightweight virtualization technologies, intra-cloud run-times federating heterogeneous clouds, to analytic run-times and disruptive applications. Application focus includes next generation sports technology where privacy and security aspects are essential, enterprise social networks, and personalized publish\/subscribe multimedia entertainment systems.<\/p>\n

The Medical Informatics and Telemedicine group (MI&T) studies technical computer science issues within the broader area of health informatics, including mobile phone-based social media applications and serious computer games for people with chronic diseases, self-help systems for people with chronic diseases, electronic disease surveillance, medical sensor systems, context-sensitive communication in hospitals, advanced videoconference-based telemedicine systems, patient modeling, telemedicine systems in homes and telemedicine services in remote areas. All projects are done in cooperation with, or closely connected to, Troms\u00f8 Telemedicine Laboratory andNorwegian Centre for Integrated Care and Telemedicine<\/a>, University Hospital of North Norway<\/a>.<\/p>\n

The research in the Open distributed systems (ODS) group is centered around middleware that facilitates the construction of applications of various kinds, with an emphasis on interoperability and adaptability issues. The group focuses on support for next-generation distributed applications, mobility, composition-based web applications, real-time collaboration and information exchange. Specific issues include adaptability, context-awareness, personalization, semantic-based image management, applied security, services orchestration, collaborative editing, consistency and reliability. Recent activities have included secure multiparty computation of health data, mobile business infrastructures, and personalized information access.<\/p>\n

A more extensive description of our research groups is available at:<\/p>\n

http:\/\/uit.no\/informatikk\/forskning\/<\/a>.<\/p>\n

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Qualification requirements<\/strong><\/p>\n

The successful candidate will have a publication record that documents solid knowledge in computer science, and strong research skills on technical aspects of experimental computer science. We are looking for candidates who have demonstrated increased scientific maturity in their selection of issues, application of methods, and documentation of results. Research results must be backed by thorough experiments and analysis. Applicants without a strong background in experimental computer science research will not be considered for appointment. Applications found by the assessment committee to be within theory of computation or information science will not be considered either.<\/p>\n

For appointment as Postdoctoral Fellow, the applicant requires:<\/p>\n