UiT The Arctic University of Norway is the largest research and educational institution in northern Norway with about 15,800 students and 3,400 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 11 tenured faculty members, 4 adjunct professors, 3 post doctors and researchers, 7 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 https://uit.no/informatikk.
Professor / associate professor in Computer Science
Application deadline: 1 June 2017
The Department of Computer Science at UiT The Arctic University of Norway has a position vacant for a highly qualified full professor or associate professor in computer science.
Further information about the position is available by contacting Head of Department Alexander Horsch, phone +47 7764 6735, e-mail: email@example.com.
For administrative questions, please contact the Department’s administration;
Phone +47 7764 4036, email: firstname.lastname@example.org.
Purpose of the position
The overriding purpose of the position is to strengthen the department’s research and education quality and capacity.
In research, the receiver of the position can either directly strengthen an established research area, or provide complementary research competence that will mutually benefit our research in more areas. 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.
In education, we expect the receiver of the position to participate in teaching at the department courses at all levels, and to offer courses that attract major portions of our student body, rather than working exclusively with a limited set of students or with a specific area of focus.
The position’s area of research
Research at the Department of Computer Science is both systems-level software research and systems-level software development. We are concerned primarily with technical aspects of computer science systems research of mobile, distributed and 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 research groups, each with a leader. In addition, the department is involved in UiT’s Center for Bioinformatics. Short descriptions of the department’s research groups are given below. A more extensive description of our research groups is available at http://uit.no/informatikk/forskning/.
Description of research groups
The Arctic Green Computing (AGC) research group (http://site.uit.no/arcticgreen/) aims at addressing energy efficiency, system complexity and dependability across mobile, embedded and data-center systems. The group current research topics include novel execution models forming foundations for a paradigm shift from energy “blind” to energy “aware” software development, and energy-aware communication and security protocols in cyber-physical 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 (2014–2019). 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 High Performance Distributed and Parallel Systems (HPDS) 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. In bioinformatics we are primarily interested in improving the scalability and interactivity of bioinformatics analysis methods and frameworks. 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 group is also a founding partner of The Center for Bioinformatics, and member in the ELIXIR-NO and ELIXIR life science infrastructures. We collaborate with several research groups at Faculty of Health Sciences at UiT and the University Hospital of North Norway (UNN).
The Information Access (IA) research group focus on fundamental system structures and concepts related to the construction of scalable, fault-tolerant, and secure cloud-based information-access services. The group undertakes high-impact interdisciplinary research and innovation at the intersection of computer science, sport science, and medicine. The group is particularly focused on technology innovations in the convergence space of mobility, social networking, multimedia, cloud computing, big medical data, machine learning, and the Internet of Things (IoT). The IA group is a key partner of the Corpore Sano Centre.
The Medical Informatics and Telemedicine (MI&T) group studies medical- and health-related computer science issues within the broader area of health informatics and digital medicine, including self-management systems for people with chronic diseases, smartphone-based social media applications and serious computer games for people with chronic diseases, motivational mechanisms in eHealth, electronic disease and health surveillance, medical sensor systems, context-sensitive communication systems for hospitals, patient modelling, enhanced patient interaction through ICT, telemedicine systems in homes and telemedicine services in remote areas. All projects are done in cooperation with, or closely connected to, Norwegian Centre for E-health Research, University Hospital of North Norway.
The research in the Open Distributed Systems (ODS) group is centered around middleware that facilitates the construction of distributed applications of various kinds, with an emphasis on interoperability and adaptability issues. The group focuses on support for next-generation applications, mobility, composition-based web applications, real-time collaboration, information exchange, analysis of data and combination of information from multiple sources. Specific issues include adaptability, context-awareness, personalization, semantic-based information management, applied security, privacy, services orchestration, collaborative editing, consistency and reliability. Recent activities have included IoT and environmental friendly transportation, personalisation, privacy aware computation of user data, and mobile business infrastructures.
For appointment as Associate Professor:
- Norwegian doctoral degree in the subject area concerned or a corresponding foreign doctoral degree recognised as equivalent to a Norwegian doctoral degree, or competence at a corresponding level documented by academic work of the same scope and quality.
- Documented competence in relevant educational theory and practice based on training or on teaching and supervision.
For appointment as Professor:
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
- Documented competence in relevant educational theory and practice based on training or on teaching and supervision.
UiT follows national guidelines for professorial promotion within MST disciplines when evaluating candidates for professorships. The recipient of the position must document research, research leadership, teaching and supervision, outreach, network, international profile, achievement of external funding, and research potential at quality and rate-levels that qualifies for a full professorship, either instantly or within a three-year interim period.
The applicants must be able to document teaching qualifications by submitting a teaching portfolio. A teaching portfolio is a factual description of teaching strengths and accomplishments. It will include documents to demonstrate the scope and quality of the applicants achieved teaching skills and progress. As a CV is supported by convincing evidence, the teaching portfolio is supported by empirical evidence.
The portfolio should contain:
- A text describing personal teaching history and teaching philosophy.
- Examples of planning and accomplishing teaching and instruction along with self-assessment and assessment from peers and students.
- Documentation of development efforts
- Documentation of attendance in courses in higher education teacher training
The assessment of the portfolio will emphasize:
- The applicant’s work with students
- The applicant’s description and reflection of his/her own teaching efforts
- The applicant’s contribution to pedagogical development work
By exception, after assessing 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 candidate should have a publication record that documents excellent research in computer science, and support the department’s research as described above. 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 high-quality studies.
Personal suitability of candidates will be emphasized. Interdisciplinary and inclusive thinking are considered mandatory prerequisites for the position. The successful applicant is expected to actively contribute to academic culture and be open to collaborate across research groups and also think beyond the own core research interests.
An associate professor as receiver of the position is expected to aim at developing herself/himself further to a full professor. The department supports associate professors in their professional development.
Applicants must have good communication skills, and must be fluent in oral and written English and in a Scandinavian language.
The application must be submitted electronically via the application form available on www.jobbnorge.no and shall include:
- Letter of application
- CV with:
A complete overview of education, supervised professional training and professional experience
Names and e-mail address of references
List of scientific publications, including information about author(s), the publication’s title, the
journal’s name and volume or the publisher’s name, year of publication, and number of pages.
- The applicant must submit in the portal up to ten scientific publications that are central to his/her research. The applicant’s doctoral thesis is in this context regarded as one work.
- In addition, the applicant shall provide a description of his/her research 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 breadth of research. These descriptions shall be an attachment to the application.
- Teaching portfolio
- A complete overview of education, supervised professional training and professional experience
- Names and e-mail address of references
- List of scientific publications, including information about author(s), the publication’s title, the journal’s name and volume or the publisher’s name, year of publication, and number of pages.
All documentation that is to be evaluated must be translated into English or a Scandinavian language.
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 will 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.
In the event that there are no suitably Professor qualified applicants for the position, an interim appointment for a period of no more than three years may be made, cf. Section 5 no. 1 of the regulations appurtenant to the Civil Service Act and Section 6-5; subsection 1 of the Act relating to universities and university colleges. A permanent appointment shall be made upon application before the three-year period elapses based on a new assessment. The appointment as Professor will become permanent in the event that the applicant is found to be suitably qualified.
In the event of an interim appointment on the basis of lacking teaching qualifications, the applicant to Professor/Associate Professor must document teaching qualifications through developing a teaching portfolio before the three-year period elapses. The appointment will become permanent in the event that the candidate through a new application is found to be suitably qualified.
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.
- Allocation of resources for start-up in the position
- 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, and for Associate Professor in accordance with code 1011. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. In addition to the salary; UiT pays 13,5% directly to the Pension Fund.
Employees in permanent positions as professor/associate professor have the right to apply for a paid sabbatical (research and development).
The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and guidelines at UiT. At our website, you will find more information for applicants.
In general, the professor/associate 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. 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. The successful applicant must be willing to participate actively in the ongoing development of the discipline, the department, and the university as a whole.
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 contact reference in this announcement. More information about moving to Tromsø: http://uit.no/mobility
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.
- Søknadsfrist1. juni 2017
- ArbeidsgiverUiT The Arctic University of Norway
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