KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health
KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.
Third-cycle subject: Biotechnology
Multi-cellular biological systems display a in several ways astonishing complexity. While most of the primary structure of DNA is shared across the trillions of genomes of the cells in the human body, the cells will show a wide diversity in morphology and molecular composition. Currently, we are harnessing seemingly ever-improving techniques for the exploratory determination of genomes, transcriptomes, proteomes, and metabolomes, both in tissue and single cells. However, to fully deliver on their potential, these technologies must be matched with advanced computational analysis tools. The understanding of experimental technologies and the ability to formulate pertinent medical questions must come hand in hand with the design of machine learning algorithms.
This project is concerned with the Machine Learning and probabilistic modeling of spacial multi-omics data, particularly from Parkinson’s disease samples. Methodologically, this project will be focused on methods for computational predictions and inferences, as well as implementation of such methods on modern high performance computers and clusters. We collaborate with groups developing new experimental omics methods, particularly mass spectrometry-based metabolomics, spacial transcriptomics and spacial proteomics, at SciLifeLab as well as with international collaborators. This is a four-year time-limited position that can be extended up to a year with the inclusion of a maximum of 20% departmental duties, usually teaching. In order to be employed, you must apply and be accepted as a doctoral student at KTH. The starting date is open for discussion, though ideally we would like the successful candidate to start as soon as possible.
Supervision: Lukas Käll is proposed to supervise the doctoral student. Decisions are made on admission
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here
A suitable background for this position would be a master’s degree in Computer Science, Physics, Statistics or any other discipline with large component of quantitative science. Programming skills and language skills are required. Knowledge of biology and computational biology are regarded as advantageous qualifications.
In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:
After the qualification requirements, great emphasis will be placed on personal competency.
Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ‘ time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.
You will find contact information for union representatives on KTH’s website.
You will find contact information for doctoral section on the section’s website.
Apply for the position and admission through KTH’s recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.
Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).
Applications must include the following elements: