Assistant professor in Computational biology -machine learning for multimodal molecular biology data

School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH 

This 6-year SciLifeLab Fellow position comes with a generous starting package of 18 MSEK, ideal for establishing an independent research group. The host institution, The department of Gene Technology, is the most prominent research environment at KTH, according to the bibliometrics of the recent years, with pioneering research in the life sciences and extensive national and international collaborations. The Assistant Professor will be a key player in this dynamic research environment located at SciLifeLab, Solna, in direct connection with NGI Stockholm.

Subject field

Computational biology with a focus on machine learning for multimodal molecular biology data.

Subject description

The subject covers the development and use of machine learning for data analysis, mathematical modelling, statistics and computational simulation of molecular biological data. The subject specifically aims to develop and apply machine learning-based methods for multimodal analyzes and integration of molecular biological data, primarily omics data (bulk and single-cell data and spatially resolved data), but also image data, phenotype data, or epigenetic data.

Duties

The duties include creating a research activity within the subject field, primarily for the development of new methodology for computational biology applications for the integration of multimodal molecular biology data from various types of technology platforms. This includes combining and integrating experimental data originating from various technology platforms as well as developing new experimental techniques for the production of omics data. The duties include teaching and program and course development in bioinformatics, data visualization, machine learning, biological statistics and modeling.

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.