Research fellow/Assistant professor in AI and Machine Learning
Linköpings universitet / Högskolejobb / Linköping
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hela Sverige Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!
The Department of Computer and Information Science was founded in 1983 but its roots go back to the early 1970s. It is one of the largest computer science departments in northern Europe.
Our research covers a broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor's and master's levels, as well as the programmes in statistics, cognitive science and innovative programming.
Read more at
https://liu.se/en/organisation/liu/idaLINKÖPING UNIVERSITY
hereby advertises a tenure track position as
Research fellow/Assistant professor in AI and Machine Learning
based at the Department of Computer and Information Science (IDA).
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 present position is part of the WASP recruitment program, which aims to strengthen Sweden's position in the field of artificial intelligence and machine learning. The successful candidate will be affiliated with a new research group led by Guest WASP Professor Hector Geffner and will also interact with the extensive existing research activities in AI, machine learning and deep learning within the Department of Computer and Information Science and the Department of Electrical Engineering.
The present position targets the subject area of AI and Machine Learning, in particular in the fields of planning, knowledge representation, and machine learning, with the aim of developing formulations, algorithms, and tools for supporting representation learning for planning. AI research is largely divided between the study and development of model-free learning methods, that do not produce symbolic representations, and model-based methods, which rely heavily on symbolic representations, often first-order symbolic representations featuring objects and relations. An important goal of the research is to bridge this gap by developing methods for learning symbolic representations from data, in particular, for computing plans and generalized plans, not tied to particular sets of objects or state spaces.
Duties
A research fellow's duties may comprise research, educational responsibilities, 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 an institution of higher education. The holder of the appointment will participate in teaching at undergraduate and advanced levels.
For more information, please see link.
Employment as a research fellow
The purpose of the employment as a research fellow 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 a senior lecturer.
Qualifications
This appointment requires a PhD or equivalent academic expertise.
For more information, please see link.
Grounds for assessment
For more information, please see link.
Form of employment (applies only to research fellow)
A research fellow 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 5 years.
For more information, please see link.
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 28th, 2019.
Applications and documents received after the date above will not be considered.
For more information, please see link.
Equal Opportunities
A majority of research fellows within the present departments 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.
Varaktighet, arbetstid
Heltid/ Ej specificerat
Publiceringsdatum2019-09-26ErsättningThe University applies individual salary scales
Så ansöker duSista dag att ansöka är 2019-10-28
Klicka på denna länk för att göra din ansökanFöretagLinköpings Universitet
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Linköpings Universitet (org.nr 202100-3096),
https://www.liu.se/ Jobbnummer 4874265
Observera att sista ansökningsdag har passerat.