Senior Lecturer in Computerised Image Analysis
Sort on published: 2017-10-16
Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with 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 42,000 students, 7,000 employees and a turnover of SEK 6.7 billion.
The Department of Information Technology has approximately 280 employees and 400 students per year and provides education and research of the highest international quality. The strong focus on research impacts and provides an excellent foundation for undergraduate education at the department. At the Division of Visual Information and Interaction we gather a unique combination of expertise in computerised image analysis and human-computer interaction. For more information, see www.it.uu.se.
The Centre for Image Analysis has a long tradition of theoretical and applied research and graduate education in computerised image analysis and scientific visualisation. The focus is on image processing as such, but also on developing better methods, algorithms and systems for applications within primarily life sciences, medicine, digital humanities and text recognition. For more information, see www.cb.uu.se.
Description of Subject Area: The subject of computerised image analysis and processing includes the development and analysis of methods for creating and managing images in digital form and extracting information from them. The aim is that these methods should be used for one or more of the following: to quantitatively and qualitatively describe the contents of an image, to divide an image into components so that they can be automatically recognised or visualised, e.g., with the help of machine learning, to develop methods and systems that help visualise and interactively analyse images, to visualise a dataset so that it can be viewed and visually interpreted, to provide autonomous systems with information about the world, to create and test models for how biological vision systems work to encode the image so that it can be stored and transmitted as efficiently as possible.
Duties: The position includes teaching, research and administration. Teaching duties include course responsibility, course administration, course development, and supervision of second- and third-cycle students. The holder shall also keep abreast of developments within the subject area and the developments in wider community that are significant for the work at the university. Management tasks may be part of the duties.
Qualifications Required: According to the Swedish Higher Education Ordinance those qualified for appointment as senior lecturer are persons who have demonstrated teaching expertise and been awarded a PhD or have the corresponding research competence or some other professional expertise that is of value in view of the subject matter of the post and the duties that it will involve. According to the appointment regulations of Uppsala University to be eligible for appointment as senior lecturer applicants also 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. A general eligibility requirement is that the applicant must possess the personal capabilities necessary to carry out fully the duties of the appointment.
Documented ability to teach in Swedish and/or English is a requirement unless special reasons prevail. The holder is expected to be able to teach in Swedish within two years.
An applicant who is offered an employment as senior lecturer 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.
Research Expertise and Teaching Expertise: 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 including research merits obtained outside the academy, which includes for example technology development and innovation ability. In assessing research expertise special weight will be attached to research merits in computerised image processing.
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. 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.
As much attention shall be given to the assessment of teaching expertise as to the assessment of research expertise. Teaching expertise comprises educational and teaching qualifications. This expertise can have been achieved outside the academy through supervision, internal training, mentoring programmes, 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. 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. In assessing teaching expertise special weight will be attached to research merits in computerised image processing.
Administrative Expertise Administrative expertise is important, including entrepreneurship, and 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.
Management Expertise Management expertise is important and 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 Collaboration expertise is important and is demonstrated through capacity to build and develop collaborations with researchers from other research disciplines and/or representatives outside academia.
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.
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.
Uppsala University aims for gender balance and diversity in all activities in order to achieve a higher quality at all levels of the organisation. We therefore welcome applicants of any gender and with different birth background, functionality and life experience. Uppsala University strives for a more even gender balance in its research and teaching staff. Since most teachers of the Faculty are men, women are especially invited to apply for this position.
Pay: Individual salaries
Starting: As soon as possible or otherwise agreed.
Type of employment: Permanent employment.
Working hours: 100%
For further information about the position please contact
Head of Division Professor Ingela Nyström email@example.com.
For further information about Uppsala University appointment regulations see
For further information about Faculty appointment regulations see
You are welcome to submit your application no later than 2017-11-07, UFV-PA 2017/3230.
We decline offers of recruitment and advertising help. We only accept the application the way described in the advertisement.
Placement: Department of Information Technology
Type of employment: Full time , Permanent position
Pay: Fixed pay
Number of positions: 1
Working hours: 100%
County: Uppsala län
Ellena Papaioannou, SEKO
+46 18-471 3315
Per Sundman, Saco-rådet +46 18-471 1485
Suzanne Borén Andersson, TCO/ST +46 18-471 6251
Number of reference: UFV-PA 2017/3230
Last application date: 2017-11-07