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Subject field
Mathematics with specialization in model-driven machine learning
Subject description
Mathematics including development of theory and algorithms using machine learning combined with mathematical analysis and mathematical statistics to solve multi scale ill-posed and inverse problems. The nature of the theory and algorithms shall be mathematical fundamental, but motivated by applications on, above all, multi-scale experimental data, e.g. image reconstruction.
Duties
Development of activities within model driven machine learning and establishment of an own research group. Research and teaching as well as administrative tasks. Contribute to the development of the educational program and courses on both basic and advanced levels.
Supervising Ph.D. students and student thesis projects, often in collaboration with companies. The duties also include responsibility to develop connections between the department and researchers in more applied fields. If the successful applicant is unable to lecture in Swedish at the time of appointment, he or she is expected to be able do so within two years after admission.
Eligibility
Those qualified for appointment as an associate professor are persons who have:
Grounds of assessment
The assessment criteria for appointment as an associate professor at KTH shall be the degree of expertise required as a qualification for employment. In addition, the assessment criteria stated in the KTH appointments procedure, section 1.2, apply in relation to the employment profile laid down.
Of highest importance is the applicant’s
Of second highest importance is the applicant’s
It is also important that the applicant has
Trade union representatives
Contact information to trade union representatives can be found at KTH:s web page.
Application
Your application should follow KTH:s CV template for employment of teachers. It is the responsibility of the applicant to ensure that the application is complete according to the requirements in the ad and CV template.
Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
Log into KTH:s recruitment system in order to apply to this position online.
For more information regarding KTH's assessement, see Appointments procedure for teachers at the Royal Institute of Technology
Other
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment | Permanent position |
---|---|
Contract type | Full time |
First day of employment | According to agreement |
Salary | Monthly pay |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | VL-2018-0060 |
Contact |
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Published | 11.Sep.2018 |
Last application date | 13.Nov.2018 11:59 PM CET |