LINKÖPING UNIVERSITY
hereby advertises at least one tenure track position as

Assistant Professor in Machine Learning with focus on integration of data and simulators

formally based at the Faculty of Science and Engineering

Description of the subject area
The Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever; a major national initiative for strategically motivated basic research, education and faculty recruitment (see https://wasp-sweden.org). WASP comprises five Swedish full partner universities and a substantial part of Swedish industry and commerce. The WASP initiative includes among many instruments an international recruitment program and the present announcement aims to strengthen Linköping University specifically in the field of machine learning within the AI focus-area of WASP. Specifically, the goal is to complement the existing excellence in areas of Computer Vision (Michael Felsberg), Visualization and Data Sciences (Jonas Unger), and Statistics and Machine Learning (Fredrik Lindsten).

For this purpose, we are looking for competence in Machine Learning with particular emphasis on methods, algorithms, and mathematical analysis relevant to the alignment and integration of physical and virtual worlds. The focus is on research and development of methods and mathematical tools with the aim of better understanding the theories and processes within statistical and deep learning-based systems.

Possible research questions should match one or more of the focus areas 1) augmented reality, 2) data augmentation, and 3) hybrid modeling. Examples of suitable research topics include, but are not limited to, model integration and simulator forcing, multi­dimensional alignment, and uncertainty representation, estimation, and propagation. As an assistant professor, you are also expected explore application areas of this research, e.g., within planning and simulation of smart homes, self-driving cars, or traffic flow planning. Depending on the profile of the successful candidate, the affiliation will be with the Computer Vision Laboratory (CVL) at the Department of Electrical Engineering, with the Division of Statistics and Machine Learning (STIMA) at the Department of Computer & Information Science, or with the Media and Information Technology (MIT) Division at the Department of Science and Technology.

Duties
An assistant professor’s duties may comprise educational responsibilities or research, and administrative tasks. Teachers are also responsible for monitoring developments within their subject areas and developments in the wider community that are significant to their role as a teacher at a higher education institution. The holder of the appointment will participate in teaching at undergraduate and advanced levels.

The successful candidate will primarily be engaged in research and PhD supervision. Assuming a separate decision from WASP the position comes with financing for own salary and expenses for 4-5 years, plus salary and expenses for two postdocs (2+2 years) and for two PhD students (4+4 years). The holder of the position is expected to build a new research group and engage in WASP’s graduate school, WASP national meetings and other activities. The holder of the position is also expected to actively engage in applying for external research funding and to establish an own independent research group. The duties include also approximately 20 percent teaching.

For this position, the language of instruction will be Swedish and English. The duties presuppose the ability to communicate freely in English.

Employment as an assistant professor
The purpose of the employment as an assistant professor is to give the teacher the opportunity to develop independence as a researcher and to obtain both the scientific and teaching qualifications required for employment as senior lecturer.

Qualifications
An applicant who has received a Degree of Doctor or has the equivalent academic expertise shall be qualified for this appointment.

Priority shall be given to a person who has been awarded a doctoral degree or achieved equivalent academic expertise no more than five years before the deadline for applications for employment as  assistant professor. A person who has been awarded a doctoral degree or has achieved equivalent expertise at a previous date may, however, be considered in special circumstances. Special circumstances is here used to describe: sick leave, parental leave, and other similar circumstances.

Grounds for assessment
As grounds for assessment when appointing an assistant professor, the level of proficiency required to qualify for the appointment shall apply.

As much attention shall be given to the assessment of teaching proficiency as to other conditions of eligibility.

For this position special weight is given to scholarly proficiency, followed by teaching proficiency, in turn followed by remaining proficiencies which should be considered equally. The successful candidate is expected to have significant international experience.

Scholarly proficiency must have been demonstrated through: original research resulting in publication, through planning and managing research and third-cycle courses and study programmes and through the ability to obtain research grants. Scholarly proficiency can also be demonstrated through the ability to achieve results in research through collaboration with other researchers and through the ability to provide information about research. Documented ability to publish in highly ranked journals and at leading international conferences in machine learning, computer vision, and computer graphics is particularly advantageous

Teaching proficiency is demonstrated through the ability to convey relevant knowledge and skills, to stimulate students such that they drive their own learning process, to create engagement and interest in the subject area, and the ability to structure and organise both the content and forms of work in relation to the goals of the subject area. In addition, the teaching proficiency must have been demonstrated through the ability to contribute to the development and renewal of education and the ability to reflect on their own attitude to education and the results of their work.

Collaboration with society is an integral part of the research and educational mission of the higher education institution, where the ability to use collaboration with society as a means to raise the quality of the education and research, its relevance, dissemination, accessibility and application may constitute grounds for assessment.

Collaboration within research is demonstrated by the ability to disseminate, make accessible and benefit from research through the production and dissemination of popular scientific material, collaborative projects with external non-academic actors, commissioned consulting as expert, mobility projects, commercialisation, and activities undertaken within the framework of permitted secondary employment.

It is desirable that the successful candidate with another mother tongue than Swedish should be able to teach in Swedish within two years from being appointed. The applicant must be fluent in English.

Appointment procedure
The position will be appointed by the Vice-Chancellor of the University on the advice of the Appointments Board. A letter of intent will be required of the applicants who make the short list for the position.

Form of employment
An assistant professor may be employed until further notice, for a minimum period of four years and a maximum period of six years, as determined by the institution of higher education before the employment begins. The employment may be renewed, by a maximum period of two years, if, as a consequence of sick absence, parental leave, or other special circumstances of the research fellow, additional time is necessary in order to achieve the purpose of the employment.

The length of employment for this position is fem years.

An assistant professor shall, after application, be promoted to senior lecturer if he/she is qualified for employment as senior lecturer and has been assessed following a test to be suitable for such employment according to the grounds for assessment that the institution of higher education has determined. The grounds for assessment are stated in the Rules of Appointment of Linköping University, p 4.3 (LiU-2021-01204)

Starting date
By agreement.

Salary
The University applies individual salary scales based on the experience of the employee and the labour market.

Union representatives
To get in contact with union representatives, see below.

Application procedure
Apply for the position by clicking the “Apply” button below. Your application must be received no later than October 1, 2021. Applications and documents received after the date above will not be considered.

Please attach your selected research publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University Registrar at Linköping University, University Registrar, S-581 83 Linköping, Sweden. The publications must be received by Linköping University no later than the deadline for application.

In the event of a discrepancy between the English translation of the job announcement and the Swedish original, the Swedish version shall take precedent.

Equal Opportunities
A majority of Assistant Professors within the Faculty of Science and Engineering are men, which is why precedence will be given to women in cases where qualifications are deemed otherwise equivalent.

 

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

We look forward to receiving your application!


Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as from vendors of job advertisements.

Contact persons

Fredrik Lindsten

Associate professor

+46 734 20 16 00

fredrik.lindsten@liu.se

Michael Felsberg

Professor

+46(0)13-282460

michael.felsberg@liu.se

Jonas Unger

Professor

011-363436

jonas.unger@liu.se

Linda Strandman

HR-partner

linda.strandman@liu.se