Associate Professor in Computing Science with specialization in Data Management
Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 54,000 students, more than 7,500 employees and a turnover of around SEK 8 billion.
The Department of Information Technology provides education and research of the highest international quality. The department employs roughly 300 people, including more than 30 full professors, about 75 teachers and researchers, and about 130 PhD students. The department educates more than 4,600 students each year, and houses about 30 research teams. The strong research focus provides an excellent foundation for undergraduate education in the department. More info: http://www.it.uu.se/
Our current research in Computing Science includes data management, design and implementation of programming languages, especially with respect to parallelism and concurrency, combinatorial optimisation, formal methods and computer science didactics. More information at http://www.it.uu.se/research/computing_science. We have several close collaborations with researchers in Computer Systems, see http://www.it.uu.se/research/computer_systems , are part of a new departmental initiative in AI, including machine learning, and has recently started a master’s programme in data science.
Description of subject area of the employment
The subject area is computing science, with focus on data management. This includes, in no particular order, database systems and theory; data mining and analytics; graph databases, network analysis, and semi-structured data; information integration and data quality; specialized and domain-specific data management such as spatial, temporal and scientific databases; search and other information retrieval technologies.
- Teaching, research and administration. Teaching duties include course responsibility and course administration and supervision of second- and third-cycle students. Teaching databases and data mining, including theory and tools, is a significant part.
- Follow developments within the subject area and the development of society in general that is important for the work at the university.
- The position may include tasks in administration, management, and collaboration outside academia.
- PhD in Computer Science or a related field.
- Research Expertise and Teaching Expertise. It is necessary that the pedagogical skills, the research expertise and the professional skills are relevant to the content of the employment and the tasks that will be included in the employment.
- Applicants must have completed teacher training of relevance to operations at the University, comprising ten weeks, or have acquired the equivalent knowledge. If special circumstances apply, this training for teachers in higher education may be completed during the first two years of employment.
- Documented ability to teach in Swedish or English is a requirement unless special reasons prevail.
- Personal capabilities necessary to carry out fully the duties of the appointment.
Assessment Criteria/Ranking of applicants that fulfil the above-mentioned qualifications required
The ranking of eligible applicants will be based primarily on research and teaching expertise, which will be given equal weight.
Research Expertise comprises research merits. In addition to academic merits, research merits from other activities, including technology development, may also be taken into account including research merits obtained outside the academy, which includes for example technology development and innovation ability. In assessing research expertise research quality must be the prime consideration. The scope of research, primarily in regard to depth and breadth, must also be afforded consideration. In assessing research expertise special weight will be attached to research merits in the subject area of the employment as defined above.
Furthermore, consideration must be given to the capacity to plan, initiate, lead, and develop research and education in the third cycle, the ability to acquire funding for research in competition, as well as the demonstrated capacity to interact with others both within academia and in the wider community.
Teaching Expertise comprises educational and teaching qualifications. This expertise can have been achieved outside the academy through supervision, internal training, mentoring programs, etc. In assessing teaching expertise teaching quality must be the prime consideration. The scope of teaching experience, in terms of both breadth and depth, must also be afforded consideration. In assessing teaching expertise special weight will be attached to merits in databases and data mining, including theory and tools.
Furthermore, consideration must be given to the capacity to plan, initiate, lead, and develop teaching and instruction, as well as the ability to connect research to teaching in respect to research in the subject at hand, subject didactics, as well as teaching and learning in higher education. The ability to interact concerning issues of teaching and learning in higher education with actors inside and outside the University is also included in teaching expertise.
Administrative Expertise is important for the employment and will be given consideration. Administrative expertise is demonstrated, for example, through the capacity to plan, organise, and prioritise work in an efficient and task-related manner as well as through the ability to assign and observe time frames. Expertise includes overall operational planning and the capacity to manage resources in a way that reflects operational priorities as well as the ability to work in a structured manner based on an awareness of goals and quality. Administrative expertise also includes entrepreneurship.
Management Expertise is important and will be afforded consideration. Management expertise is demonstrated through the capacity to lead operations and personnel, make decisions, take responsibility, and motivate others, providing them with what is needed for the efficient achievement of common goals. The abilities to coordinate the group and help create a sense of involvement, participation, and enjoyment in work and to deal with conflicts constitute further examples of demonstrated expertise.
Collaboration Expertise is important and will be afforded consideration. Collaborative expertise is demonstrated by the ability and skill of planning, organizing and implementing interaction with the surrounding community. Popular publications, public debate and lectures are examples of forms of interaction with the surrounding community. Other examples of collaboration are patent applications, commercialization and industrial cooperation. The ability to translate knowledge sharing with the surrounding community into activities of importance to the education's development and quality is part of the collaboration expertise.
All merits must be documented in a manner that makes it possible to assess both quality and scope.
In filling this position the university aims to appoint the applicant who, following a qualitative holistic assessment of her/his competence and expertise, is judged to have the best potential to carry out and develop the relevant duties and to help advance operations.
An applicant who is offered an employment as Associate Professor can be promoted to Professor if he/she has applied for this, is qualified for such a post, and moreover has been deemed suitable on the basis of the specific criteria established by the faculty board.
In an overall assessment of the applicant’s qualifications, parental leave, part-time work relating to care of children, union assignments, military service, or the like are to be regarded as work experience.
For further information about the position, please contact professor Joachim Parrow, telephone: +46705733324, e-mail: email@example.com
Type of position: Permanent full-time position.
Number of positions: 1
Working hours: 100%
Salary: Individually negotiated salary.
Starting date: As soon as possible or as otherwise agreed
Type of employment: Permanent full-time position, probationary period may be applied.
Please submit your application by June 3 2022, UFV-PA 2022/959.
In the event of any disagreement between the English and the Swedish versions of this announcement, the Swedish version takes precedence.
If you are an international candidate, you will find a lot of information about working and living in Sweden at www.uu.se/joinus.
Please do not send offers of recruitment or advertising services.
Submit your application through Uppsala University's recruitment system.
Placement: Department of Information Technology
Type of employment: Full time , Permanent position
Pay: Fixed salary
Number of positions: 1
Working hours: 100%
County: Uppsala län
Number of reference: UFV-PA 2022/959
Last application date: 2022-06-03
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