Associate Professor in Numerical Analysis - Hiring in process/Finished, not possible to apply

The Department of Information Technology has a leading position in research and all levels of higher education. Today the department has 280 employees, including 120 academic staff and 110 full-time PhD students. The Department comprises research and education in a spectrum of areas within Computer Science, Information Technology and Scientific Computing. More than 4000 students take one or several courses offered by the Department each year.

The position is hosted by the Division of Scientific Computing within the Department of Information Technology. As one of the world’s largest focused research environments in Scientific Computing the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence, where it plays key roles in several new strategic initiatives at the University.

With this employment we want to ensure continued strong competence in numerical analysis and the continued development of our research in this area.

Duties:

• Teaching, research and administration. Teaching duties include course responsibility and course administration and supervision of second- and third-cycle students. Research and supervision in numerical analysis, teaching in scientific computing at basic and advanced level, and teaching in numerical analysis at doctoral level.

• Follow developments within the subject area and the development of society in general that is important for the work at the University.

Qualifications Required:

• PhD in scientific computing, numerical analysis, or computational mathematics or have the corresponding research competence or some other professional expertise.

• 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. The holder is expected to be able to teach in Swedish within two years.

• 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 numerical analysis in the intersection of mathematical theory and computations. Weight will also be attached to experience of analysis and development of modern numerical methodology for partial differential equations, efficient computational algorithms, computational techniques for multiscale analysis, numerical methods for stochastic PDEs, and other modern techniques such as numerical filtering for increased accuracy.

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 pedagogical merits in numerical analysis at advanced and doctoral level, weight will also be attached to pedagogical merits in teaching scientific computing for students from different subject areas in science and technology, and supervision of bachelor and master theses.

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.

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.

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.

Further information:

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.

University appointment regulations

Faculty appointment regulations

Instructions for application

For further information about the position, please contact Emanuel Rubensson, Head of Division, e-mail emanuel.rubensson@it.uu.se or Gunilla Kreiss, Professor of Numerical Analysis, e-mail gunilla.kreiss@it.uu.se.

Salary: Individually negotiated salary.

Starting date: As soon as possible or as otherwise agreed.

Type of employment: Permanent full-time position.

Scope of employment: 100 %.

Please submit your application by April 15 2021, UFV-PA 2021/265.

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.