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

The position is hosted by the Division of Scientific Computing within the Department of Information Technology. The division has a history of world leading research on numerical treatment of partial differential equations since the 1960’s. The division is now one of the world’s largest focused research clusters in Scientific Computing. The research and education has a unique breadth, with large activities in traditional areas of scientific computing such as numerical analysis, 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 computing, data science, and artificial intelligence, where it plays a key role in several new strategic initiatives at the University.

Description of subject area of the employment: In filling this position we want to ensure a continued strong competence in numerical analysis and a continued development of our research and research education in this area. We are in particular looking for expertise at the intersection of mathematics and computations, in the areas numerical analysis for differential equations, numerical linear algebra and/or numerical optimization.

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Duties

• As professor you represent your subject. With the title follows responsibility for the content, development and quality of this subject in both research and undergraduate and graduate education.
  
  
• Research, teaching and administration. Supervision and teaching at PhD level and teaching at bachelor and master level. Teaching duties include course responsibility and course administration. The duties may include leadership responsibilities for research in numerical analysis and/or for the PhD program at the division.
  
  
• Plan and lead research projects.
  
  
• Follow developments within the subject area and the development of society in general that is important for the work at the university. Inform about research and development.
  
  
• The position may include other leadership roles within the division of Scientific Computing, at the department of Information Technology and within the disciplinary domain of Science and Technology.

Qualifications Required

• 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. The pedagogic training must include supervision of PhD students. 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 fully carry out 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 development of technology, 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 for differential equations, numerical linear algebra and numerical optimization. Special weight will be given to research merits with relevance for both mathematical theory and computations. Weight will also be attached to merits in analysis, development and implementation of modern numerical methods that have impact for current computer architectures and for applications.

Furthermore, consideration will be given to the ability to plan, initiate, lead, and develop research and research education, the ability to successfully acquire competitive research funding, as well as the demonstrated ability 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 will be the prime consideration. The scope of teaching experience, in terms of both breadth and depth will also be afforded consideration. In assessing teaching expertise special weight will be attached to pedagogical merits in numerical analysis at master and doctoral level, as well as to experience of supervising postdocs and PhD students.  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 will 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 numerical analysis, 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.

Management Expertise is important and will be afforded very high consideration. Management expertise is demonstrated through the capacity to lead operations and personnel, including national and international projects, 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 in planning, organizing and implementing interaction with the surrounding community. Industrial cooperation, patents, commercialization, as well as popular science outreach in the form of public lectures and published articles publications are forms of interaction with the surrounding community. The ability to translate knowledge-sharing with the surrounding community into activities of importance for the development and quality of education is part of the collaborative expertise.

Other Expertise Experience of equal opportunities work will be afforded consideration.

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
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 regarded as work experience, and should therefore be included in the vitae.

University appointment regulations

Faculty appointment regulations

Instructions for application

About the employment
The employment is a permanent permanent full-time position. Scope of employment 100%. Starting date 01-01-2024 or as agreed. Placement: Uppsala. 

For further information about the position please contact: Professor Gunilla Kreiss phone number: 018-471 2968, e-mail: gunilla.kreiss@it.uu.se and Professor Lina von Sydow phone number: 018-471 2785, e-mail: lina.von.sydow@it.uu.se

Please submit your application by 1 February 2023, UFV-PA 2022/3931.

In the event of any disagreement between the English and the Swedish versions of this announcement, the Swedish version takes precedence.

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