School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH
Subject field: Data driven cell and molecular biology.
Subject description: The subject covers the development and use of data-driven methods relying on machine learning or other computational techniques, within cell and molecular biology.
The specific focus is on development and application of methods for analysis of cellular and molecular biology data, primarily omics data, such as bulk and single-cell data, spatially resolved data and mass spectrometry data, but also image and phenotype data or epigenetic data.
The goal is both to develop new computational methods for analysis of data from existing experimental methods, and to develop computational methods that lay the ground for novel experimental techniques for producing omics data.
The duties include creating a research activity of highest international standard within the subject field, to develop and strengthen the department's activities within method development for machine learning-based computational biology.
The duties also include supervision of PhD students and postdocs, and teaching at basic, advanced and research level. The Assistant Professor is expected to contribute to teaching and program and course development in bioinformatics, data visualization, machine learning, biological statistics, and statistical and computational modeling of biological systems.
The assistant professor will be given opportunity to develop their independence as researcher and gain accreditation that may allow them to take other teaching positions with higher eligibility requirements (see Chapter 4, Section 12 a of the Swedish Higher Education Ordinance). Following application, the assistant professor can apply for promotion to associate professor in accordance with Chapter 4, Section 12 c of the Higher Education Ordinance.
An individual who has completed a doctorate or equivalent scientific competence is qualified for appointment as an assistant professor. Candidates who met those qualifications a maximum of seven years before the deadline for applying for the appointment as an assistant professor has expired should be prioritized. Other candidates may also be considered if there are special reasons. Special reasons' refers to absence due to illness, parental leave or other similar circumstances.
The assessment criteria for appointment as an assistant professor at KTH are stated in KTH's appointments procedure section 1.3, and apply in relation to the employment profile laid down.
Of highest importance is that the applicant has
Of second highest importance is that the applicant has
It is also important that the applicant has
Special grounds of assessment for promotion to associate professor
When assessing applications for promotion to associate professor, provisions according to Section 1.2.4 of Appointments procedure at KTH will be applied. Ability to teach in Swedish is a merit that is given great importance in the application for promotion.
Tagged as: Engineering, Physics
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