Application deadline: August 2, 2015

The Department of Computer Science at University of Tromsø – The Arctic University of Norway (UiT) has a Postdoctoral Research Fellow position vacant.

The position of Postdoctoral Research Fellow is a fixed term position for a period of thirty months. 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.

The position is attached to the Arctic Green Computing (AGC) research group at the Department of Computer Science.

Further information about the position is available by contacting associate professor Phuong H. Ha, phone +47 77 64 40 32, email: phuong@cs.uit.no

For administrative questions, please contact the Department’s administration;
phone +47 77 64 40 36, email: administrasjon@cs.uit.no.

The position’s affiliation

UiT The Arctic University of Norway is the largest research and educational institution in northern Norway with about 12,000 students and 2,700 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.

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 from different countries. 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.

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 “blind” to energy “aware” 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 a work-package leader in EU FP7 ICT project EXCESS on energy-efficient high-performance computing systems (2013 – 2016) and the project leader of Norwegian FRIPRO project PREAPP on programming productivity and energy efficiency (2014 – 2017). The group is also the Norwegian representative in the management committee of the EU COST Action Euro-TM on concurrent programming abstractions (2011 – 2015) and a member of EU network of excellence HiPEAC on high performance and embedded architecture and compilation.

The position’s field of research/field of work

In today’s exponential world of digital data, computing technology plays an essential role in addressing our major social challenges including climate change, health, energy and education. However, worldwide computing systems currently consume 30 billion watts, equivalent to the output of 30 large nuclear power plants. The environmental impact of computing systems is of the same order as that of the Czech Republic, the 35th country in the top carbon-emitting countries in the world. Energy efficiency is therefore considered a major criterion for “sustainable” computing systems and services over the data deluge. However, energy-efficient computing systems make parallel programming even more complex and thereby less robust due to requirements of massive parallelism, heterogeneity and data locality.

The research project aims at devising novel programming models that will form foundations for a paradigm shift from energy “blind” to energy “aware” software development. The new models will enable significant improvement in energy efficiency in comparison with today’s multicore computing, thereby greatly advancing green computing and sustainable services. The new models will facilitate unprecedented productivity for implementing scientific big data applications that run effectively on large-scale high-performance computing (HPC) platforms, which are based on cutting-edge manycore architectures. The threshold of adopting large-scale parallel computing will thus be considerably lowered for a large number of computational scientists in several disciplines.

Qualification requirements

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 should be backed by thorough experiments and analysis.

For appointment as Postdoctoral Fellow, the applicant requires:

• Norwegian doctoral degree in the subject area concerned or a corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree.

When applying for a Postdoctoral Research Fellowship, the applicant shall submit a project proposal for the qualifying work. This proposal shall include a progress plan. It is required that the applicant will be able to complete the project during the period of appointment.

The successful candidate should have a strong interest in at least one of the following topics: energy-efficient computing, concurrent data structures and algorithms, programming systems and run-time systems. Experience of partitioned global address space (PGAS) programming is a plus.

Emphasis shall be attached to personal suitability.

Working conditions

The working hours shall primarily be utilized for research, research-related activities and research administration. The research fellow is expected to participate professionally within the department with occasional advice of students; presentations for faculty and students, laboratory assignments etc., totaling up to 20 % of the position. The position will not include regular teaching assignments.

The successful applicant must be willing to engage himself/herself in the ongoing development of computer science as a discipline, the department, and of the university as a whole.

The remuneration for this position is in accordance with the State salary scale code 1352. At present, the gross salary starts from NOK 482.500 (approx. EUR 55.000) per year. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. We offer good welfare benefits.

Enquiries

Applicants are welcome to send an email to preapp.recruitment@cs.uit.no. The e-mail ought to include the following email subject and PDF files:

• Email subject containing the applicant’s full name
• Letter of application
• CV (containing a complete overview of education, supervised professional training and professional work)
• Research proposal
• List of publications
• Relevant publications: the applicant should submit up to ten publications that are central to his/her production. The applicant’s doctoral thesis is regarded in this context as one publication.
• Description of his/her production stating which publications he/she considers the most important. A brief description of the other listed publications should also be included to demonstrate depth of production.
• Diplomas and transcripts from PhD degree or equivalent
• Names and email addresses of three references

All documentation should be translated into English or a Scandinavian language.

Well-qualified applicants will be called for an interview. Such an interview shall among other things aim to clarify the applicant’s personal suitability for the position. A trial lecture may also be held.

Applicants should also refer to the Supplementary regulations for appointment to postdoktor (Postdoctoral Research Rellow), stipendiat (PhD) and vitenskapelig assistent (Research Assistant) positions at the University of Tromsø and to the Regulations concerning terms and conditions of employment for posts of postdoktor (Postdoctoral Research Fellow), stipendiat (PhD), vitenskapelig assistent (Research Assistant) and spesialistkandidat (Resident).

Questions concerning the organization of the working environment, such as the physical state of the place of employment, health service, possibility for flexible working hours, part time, etc. may be directed to the telephone reference in this announcement.

UiT has HR policy objectives that emphasize diversity, and therefore encourages qualified applicants to apply regardless of their age, gender, functional ability and national or ethnic background.

UiT is an IW (Inclusive Workplace) enterprise, and therefore emphasizes making the necessary adaptations to the working conditions for employees with reduced functional ability.

Post doctoral research fellow in Computer Science at Department of Computer Science.

Application deadline: 28.11.2014

Applications shall be marked: Ref. 2012/3776

The Department of Computer Science at University of Tromsø – The Arctic University of Norway (UiT) has a Postdoctoral Research Fellow position vacant.

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.

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.

For administrative questions, please contact the Department’s administration;
phone +47 77 64 40 36, email: administrasjon@cs.uit.no.

The position’s affiliation

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.

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/.

The position’s field of work

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.

Researchers are organized in five voluntary research groups, each with one leader

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

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 “blind” to energy “aware” 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-efficient data structures and algorithms in EU FP7 ICT project EXCESS (2013 – 2016), the Norwegian representative in the Management Committee of the EU COST Action Euro-TM on concurrent programming abstractions (2011 – 2015) and the project leader of Norwegian FRIPRO project PREAPP on productivity and energy efficiency (2014 – 2017).

The High Performance Distributed and Parallel Systems group (hpds.cs.uit.no, bdps.cs.uit.no) 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 Tromsø Display Wall Laboratory, and the Biological Data Processing Systems Laboratory.

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.

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, Tromsø Telemedicine Laboratory andNorwegian Centre for Integrated Care and Telemedicine, University Hospital of North Norway.

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.

A more extensive description of our research groups is available at:

http://uit.no/informatikk/forskning/.

Qualification requirements

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.

For appointment as Postdoctoral Fellow, the applicant requires:

• Norwegian doctoral degree in the subject area concerned or a corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree.

When applying for a Postdoctoral Research Fellowship, the applicant shall submit a project proposal for the qualifying work. This proposal shall include a progress plan. It is required that the applicant will be able to complete the project during the period of appointment. Before appointment the successful applicant and the department must agree on a primary supervisor for the project. Additional co-supervisors will be decided only after the appointment.

Emphasis shall be attached to personal suitability.

Working conditions

The working hours shall primarily be utilized for research, research-related activities and research administration. The research fellow is expected to participate professionally within the department with occasional advice of students; presentations for faculty and students, laboratory assignments etc., totaling up to 20 % of the position. The position will not include regular teaching assignments.

The successful applicant must be willing to engage himself/herself in the ongoing development of computer science as a discipline, the department, and of the university as a whole.

The remuneration for this position is in accordance with the State salary scale code 1352.

A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted.

Assessment

An expert committee will assess the applicants. The committee’s mandate is to undertake an assessment of the applicants’ qualifications based on the material presented by the applicants, and the detailed description drawn up for the position.

The applicants who are assessed as the best qualified might be called to an interview. The interview shall among other things aim to clarify the applicant’s personal suitability for the position. A trial lecture may also be held.

The University of Tromsø wishes to increase the proportion of females in research positions. In the event that two or more applicants are found to be approximately equally qualified, female applicants will be given priority.

Application

The application must be submitted electronically via the application form available on www.jobbnorge.no and shall include:

• Letter of application
• CV (containing a complete overview of education, supervised professional training and professional work)
• Diplomas
• Names and e-mail address of references
• Form for documentation of teaching qualifications
• List of works and description of these, containing the following information:
• author(s), the work’s title
• for articles: the journal’s name and volume, the first and last page of the article, year of publication
• for publications: publisher, printer, year of publication, number of pages
• Academic works:
• The applicant should submit up to ten works that are central to his/her production. The applicant’s doctoral thesis is regarded in this context as one work.
• In addition, the applicant shall provide a description of his/her production stating which works he/she considers the most important and which shall therefore be the main emphasis of the assessment. A brief description of the other listed works shall also be included to demonstrate depth of production. These descriptions shall be an attachment to the application.

All documentation that is to be evaluated must be translated into English or a Scandinavian language.

Applicants shall also refer to the Supplementary regulations for appointment to postdoktor (PostdoctoralFellow), stipendiat (PhD) and vitenskapelig assistent (Research Assistant) positions at UiT and to theRegulations concerning terms and conditions of employment for posts of postdoktor (Postdoctoral Fellow), stipendiat (PhD), vitenskapelig assistent (Research Assistant) and spesialistkandidat (Resident).

Questions concerning the organisation of the working environment, such as the physical state of the place of employment, health service, possibility for flexible working hours, part time, etc. may be directed to the telephone reference in this announcement.

UiT has HR policy objectives that emphasize diversity, and therefore encourages qualified applicants to apply regardless of their age, gender, functional ability and national or ethnic background.

The university is an IW (Inclusive Workplace) enterprise, and will therefore emphasize making the necessary adaptations to the working conditions for employees with reduced functional ability.

Personal data given in an application or CV will be processed in accordance with the Act relating to the processing of personal data (the Personal Data Act). In accordance with Section 25 subsection 2 of the Freedom of Information Act, the applicant may request not to be registered on the public list of applicants. However, the University may nevertheless decide that the name of the applicant will be made public. The applicant will receive advance notification in the event of such publication.

Professor in Computer Science at the Department of Computer Science

Application deadline: 9.10.2014

Ref.no: 2014/3131

Pending on funding, The Department of Computer Science at University of Tromsø – The Arctic University of Norway (UiT) has a position vacant for a highly qualified full professor in computer science.

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.

For administrative questions, please contact the Department’s administration;

phone +47 7764 4036, email: administrasjon@cs.uit.no.

The position’s affiliation

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.

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.

The position’s area of research

Research at the Department of Computer Science is concerned primarily with technical 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 are addressed. 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. Researchers are organized in five voluntary research groups, each with one leader. A more extensive description of our research groups is available at

http://en.uit.no/ansatte/organisasjon/forskning?p_dimension_id=88138&p_menu=28713

The overriding purpose of the position is to strengthen the department’s research quality in areas where the department is already active. Either by directly strengthening an established research area or by providing complementary research competence that will mutually benefit our research in more areas. Machine learning, and systems research related to computer security, are examples of research areas that might be mutually beneficial with our established research portfolio. Expansion into theory of computation or into information science is at this time not an option. Applications found by the assessment committee to fall into these areas will not be considered nor evaluated.

Applicants who offer complementary competence are encouraged to study the descriptions of our research groups, and to indicate research areas where working together with established research groups might offer mutually beneficial research opportunities. In the case of complementary competence, we expect applicants to be interested and willing to work with more groups rather than just one.

We expect applicants to offer teaching that addresses and attracts major portions of our student body, rather than working exclusively with a limited set of students at specific levels, or with a specific area of focus.

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 “blind” to energy “aware” 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-efficient data structures and algorithms in EU FP7 ICT project EXCESS (2013 – 2016), the Norwegian representative in the Management Committee of the EU COST Action Euro-TM on concurrent programming abstractions (2011 – 2015) and the project leader of Norwegian FRIPRO project PREAPP on productivity and energy efficiency (2014 – 2017).

The High Performance Distributed and Parallel Systems group (hpds.cs.uit.no, bdps.cs.uit.no) 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 Tromsø Display Wall Laboratory, and the Biological Data Processing Systems Laboratory.

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.

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, Tromsø Telemedicine Laboratory and Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North Norway.

The research in the Open distributed systems (ODS) group is centred 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.

Qualification requirements

In order to be awarded professorial competence, applicants must be able to document substantially more extensive research of high quality than that required to be awarded a doctorate degree. Pursuant to the Regulations concerning appointment and promotion to teaching and research posts, the fundamental requirement is:

• Academic level conforming to established international or national standards for position of professor in the subject area in question, and
• Documented competence in relevant educational theory and practice based on training or on teaching and supervision.

The applicants must be able to document teaching qualifications in the form of university-level teaching seminars, other teaching education or through having developed a teaching portfolio. Alternatively, after carrying out an assessment of the applicant’s practical teaching skills, the committee may determine that this may be regarded as of equal value to formal teaching qualifications. For further information about requirements for teaching qualifications, refer to the website pertaining to teacher training courses.

The recipient of the position must document research, research leadership, teaching, funding efforts, and research potential at quality and rate-levels that clearly qualifies for a full professorship. The professor should have a publication record that documents solid knowledge in computer science, and strong research skills on technical aspects of experimental computer science within the scope of the Department’s research groups. We are looking for candidates who demonstrate their continued potential for high quality research by documenting increased scientific maturity in their selection of issues, application of methods, and documentation of results. Research results are validated through thorough experiments and analysis.

Emphasis shall be attached to personal suitability.

Applicants should have a good command in English and in Norwegian or another Scandinavian language. If not in a Scandinavian language, the applicant must be willing to learn Norwegian within two years.

Working conditions

In general, the professor shall spend an equal amount of time on teaching and research and development work, after time spent on other duties has been deducted. As a norm, the time resources spent on administrative duties constitutes 5 % for academic staff in this category of position. The allocation of working hours shall be flexible and allocated on a case-by-case basis.

The candidate must participate in teaching computer science at all levels and formats offered by the department. This includes supervision of undergraduate and graduate projects.

The professor will work with one or more of the department’s research groups and must contribute to enhance the department’s research within the described areas or even related fields of research, such as machine learning or computer security. There are excellent opportunities to develop research projects in collaboration with other faculty members across the groups. The professor is expected to be successful in raising external research funds.

Moreover, applicants shall refer to the Retningslinjer for fordeling av arbeidstid for ansatte i undervisnings- og forskerstillinger (Guidelines for allocation of working hours in teaching and research positions. Only in Norwegian).

Employees in permanent positions as professor have the right to apply for a paid sabbatical (research and development), cf. Retningslinjene for fordeling av FoU-termin (Guidelines for the allocation of R&D sabbatical).

The successful applicant must be willing to participate actively in the ongoing development of the discipline, the department, and the university as a whole.

We offer

• R&D sabbatical conditions which are considered to be some of the best in the country
• A good working environment
• Good welfare arrangements for employees
• Good arrangements for pension, insurance and loans in the Norwegian Public Service Pension Fund

The remuneration for Professor is in accordance with the State salary scale code 1013. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted.

Assessment

An expert committee will assess the applicants. The committee’s mandate is to undertake an assessment of the applicants’ qualifications based on the material presented by the applicants, and the detailed description drawn up for the position.

The applicants who are assessed as the best qualified might be invited for interview. The interview shall among other things, aim to clarify the applicant’s personal suitability for the position. A trial lecture may also be held.

The department reserves the right to abort the hiring process if the assessment committee or the department determines that there are no suitably and highly qualified applicants for the position.

UiT wishes to increase the proportion of females in senior research positions. In the event that two or more applicants are found to be approximately equally qualified, female applicants will be given priority.

Application

The application must be submitted electronically via the application form available on www.jobbnorge.no and shall include:

• Letter of application
• CV (containing a complete overview of education, supervised professional training and professional work)
• Diplomas
• Names and e-mail address of references
• Form for documentation of teaching qualifications
• List of works and description of these, containing the following information:
  • author(s), the work’s title
  • for articles: the journal’s name and volume, the first and last page of the article, year of publication
  • for publications: publisher, printer, year of publication, number of pages
• Academic works: The applicant may submit up to ten works that are central to his/her production. The applicant’s doctoral thesis is regarded in this context as one work.
• In addition, the applicant shall provide a description of his/her production stating which works he/she considers the most important and which shall therefore be the main emphasis of the assessment. A brief description of the other listed works shall also be included to demonstrate depth of production. These descriptions shall be an attachment to the application.

All documentation that is to be evaluated must be translated into English or a Scandinavian language.

Applicants shall also refer to “Supplementary regulations for appointment and promotion to teaching and research positions at the University of Tromsø” and “Regulations concerning appointment and promotion to teaching and research posts”.

Questions concerning the organisation of the working environment, such as the physical state of the place of employment, health service, possibility for flexible working hours, part time, etc. may be directed to the telephone reference in this announcement.

UiT has HR policy objectives that emphasize diversity, and therefore encourages qualified applicants to apply regardless of their age, gender, functional ability and national or ethnic background.

The university is an IW (Inclusive Workplace) enterprise, and will therefore emphasize making the necessary adaptations to the working conditions for employees with reduced functional ability.

Personal data given in an application or CV will be processed in accordance with the Act relating to the processing of personal data (the Personal Data Act). In accordance with Section 25 subsection 2 of the Freedom of Information Act, the applicant may request not to be registered on the public list of applicants. However, the University may nevertheless decide that the name of the applicant will be made public. The applicant will receive advance notification in the event of such publication.

Deadline: June 30, 2014

Expected starting date: October 1, 2014

This announcement in PDF

UiT The Arctic University of Norway (UiT), the merger of the University of Tromsø and the University College of Finnmark, has a PhD position in Computer Science (Research on energy-efficient computing systems) vacant from October 1, 2014 for a candidate committed to take the degree of Philosophy Doctor (PhD). The PhD position is a part of a new research project titled “PREAPP – PRoductivity and Energy-efficiency through Abstraction-based Parallel Programming”. The PREAPP project is funded by Norwegian prestigious funding scheme FRIPRO that is designed to promote research of high scientific quality independent of research area and discipline. The PREAPP project is conducted by UiT in collaboration with partners from Simula Research Laboratory.

The position is attached to the Arctic Green Computing (AGC) research group at the Department of Computer Science.

The appointment is for a period of three years for a candidate with knowledge, skills and will to successfully complete the PhD study within and limited to the time frame.

The PhD position is for a fixed term, with the objective of completion of research education to the level of a doctoral degree. Admission to a PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position. The PhD Candidate shall participate in the Faculty’s organized research training, and the PhD study shall be completed during the period of employment. Information about the application process for admission to the PhD programme, application form and regulations for the degree of Philosophiae Doctor (PhD) are available at the Faculty’s website for Research training.

Further information about the position is available by contacting: Associate professor Phuong Hoai Ha, phone +47 77 64 40 32, email: phuong@cs.uit.no

The position’s affiliation

UiT The Arctic University of Norway, the merger of the University of Tromsø and the University College of Finnmark, is the largest research and educational institution in northern Norway with about 12,000 students and 2,700 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.

The Department of Computer Science provides a strong international research environment with 12 tenured faculty members, 8 adjunct professors, 2 postdoctors and researchers, 6 technical/administrative staff members and about 20 PhD students from different countries. 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.

The Arctic Green Computing (AGC) research group aims at addressing energy efficiency and programmability, the two biggest challenges of large-scale computing. We research novel execution models forming foundations for a paradigm shift from energy “blind” to energy “aware” software development and, at the same time, facilitating programming productivity on energy-efficient computing systems. Our research on the topic has been funded by European Commission (FP7), Norwegian Research Council (FRIPRO) and The University of Tromsø (UiT). The group is the leader of the work package on energy-efficient data structures and algorithms in EU FP7 ICT project EXCESS (2013 – 2016), the Norwegian representative in the Management Committee of the EU COST Action Euro-TM on concurrent programming abstractions (2011 – 2015) and the project manager of Norwegian FRIPRO project PREAPP (2014 – 2017).

The position’s field of research/research project

In today’s exponential world of digital data, big data services have made the power consumption the lion’s share of the total cost. For instance, Google data centers consume almost 260 MW, about a quarter of the output of a nuclear power plant, enough to power 200 000 homes. Energy efficiency is therefore considered a major criterion for “sustainable” computing systems and services over the data deluge. However, energy-efficient computing systems make parallel programming even more complex and thereby less robust due to requirements of massive parallelism, heterogeneity and data locality.

The PREAPP project aims to devise novel programming models that will form foundations for a paradigm shift from energy “blind” to energy “aware” software development. The new models will enable significant improvement in energy efficiency in comparison with today’s multicore computing, thereby greatly advancing green computing and sustainable services. The new models will facilitate unprecedented productivity for implementing scientific big data applications that run effectively on large-scale high-performance computing (HPC) platforms, which are based on cutting-edge manycore architectures. The threshold of adopting large-scale parallel computing will thus be considerably lowered for a large number of computational scientists in several disciplines.

Qualification requirements

The successful applicant must fulfil the requirements for admission to the Faculty’s PhD programme; cf. Regulation for the degree of Philosophiae Doctor (PhD) at the UiT. The applicant should in addition be able to document proficiency in English equivalent to Norwegian Higher Education Entrance Qualification, available at the same website.

This position requires a Master’s degree or equivalent in Computer Science.

A successful candidate should have a strong interest in at least one of the following topics: energy-efficient computing, concurrent data structures and algorithms, programming systems and run-time systems. Experience of partitioned global address space (PGAS) programming is a plus. Since our research results are usually evaluated experimentally, good programming skills are necessary.

Emphasis shall also be attached to personal suitability.

Working conditions

The normal period of employment is three years and the nominal length of the PhD programme is three years.

A shorter period of appointment may be decided when the research fellow has already completed parts of his/her research training programme or when the appointment is based on a previous qualifying position (PhD Candidate, research assistant, or the equivalent) in such a way that the total time used for research training amounts to three years.

Remuneration for the position of PhD Candidate is in accordance with the State salary scale code 1017. At present, the gross salary starts from NOK 420.800 (approx. USD 70.000) per year. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. A successful candidate will be able to spend six months abroad with full pay at world class institutions working on the relevant research areas.

Enquiries

Potential candidates are welcome to send an email to preapp.recruitment@cs.uit.no. The e-mail ought to include the following email subject and PDF files:

• Email subject containing the candidate’s full name
• Cover letter describing research interests and earlier experience
• CV including a list of publications
• Relevant publications, theses, technical reports and other documents
• Diplomas and transcripts from Bachelors and Masters degrees or equivalent.
• Documentation of English language proficiency
• Names and emails of three references

A well-qualified candidate will be called for an interview. Such an interview shall among other things aim to clarify the applicant’s personal suitability for the position.

For information on formal regulations for PhD positions in general, refer to the Supplementary regulations for appointment to postdoktor (Postdoctoral Research Fellow), stipendiat (PhD) and vitenskapelig assistent (Research Assistant) positions at the University of Tromsø and to the Regulations concerning terms and conditions of employment for posts of postdoktor (Postdoctoral Research Fellow), stipendiat (PhD), vitenskapelig assistent (Research Assistant) and spesialistkandidat (Resident).

UiT has HR policy objectives that emphasize diversity, and therefore encourages qualified applicants to apply regardless of their gender, functional ability and national or ethnic background.

UiT is an IW (Inclusive Workplace) enterprise, and will therefore emphasize making the necessary adaptations to the working conditions for employees with reduced functional ability.

Personal data given in an application or CV will be processed in accordance with the Act relating to the processing of personal data (the Personal Data Act). In accordance with Section 25 subsection 2 of the Freedom of Information Act, the applicant may request not to be registered on the public list of applicants. However, the University may nevertheless decide that the name of the applicant will be made public. The applicant will receive advance notification in the event of such publication.

UiT The Arctic University of Norway, 9037 Tromsø, Norway