KTH Royal Institute of Technology, School of Computer Science and Communication

Job description

The EU funded CONTRA Innovative Training Network will hire 15 doctoral students, each located and supervised at one of the eight participating major European universities, see below. CONTRA will provide training in computational cancer research and professional software development, for analysis of novel experimental data including but not limited to single-cell genomics data. The training will be eminently methodological, leveraging concepts and algorithms from computer science, statistics and evolutionary biology, and include methodologies from  machine learning, image analysis, and phylogenetics. A few positions also contribute to experimental verification of computational predictions. In addition to world-leading universities, CONTRA partners include pharmaceutical, biotech-start up, and software development companies. The PhD training within CONTRA will involve several summer schools and workshops across Europe as well as secondments to other sites outside the supervising university. CONTRA actively promotes diversity in science and encourages applications from students regardless of gender, background, and origin. It will be beneficial for an applicant to start before the project’s  kick-off meeting in Italy mid July 2018. 

Participating universities: The Royal institute of Technology (KTH, Coordinator), Stockholm; The University of Cambridge; ETH Zurich; University of Warsaw; University of Vigo; King’s College London and the Francis Crick Institute (KCL/Crick); Institute for Research in Biomedicine (IRB); University of Barcelona; The Institute of Cancer Research, London.

Qualifications

Applicants should have now, or plan to have at the end of this academic year, a MSc with excellent results in a computational area (computational biology, bioinformatics, computer science, mathematics, physics, statistics, engineering etc) from a top-ranking university. Applicants with a mixed background (e.g., biological sciences BSc. and bioinformatics Masters) are also encouraged to apply. An applicant must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting university for more than 12 months in the 3 years immediately before the recruitment date. An applicant shall, at the time of recruitment, have received the degree (typically a MSc) entitling him or her to embark on a doctorate no more than 4 years ago.

Trade union representatives

You will find contact information to trade union representatives at KTH:s webbpage.

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

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).

The application should include the following documents:

  • Curriculum vitae with at most 3 pages
  • Transcripts from University/ University College
  • 3 references
  • Brief description of why the applicant wishes to become a doctoral student within this network
  • Ranking of 3 ESR projects based on preferences

Please observe that all material needs to be in English, apart from the official document.

Others

PhD Projects

For individual descriptions of the 15 projects, please use the following link: https://itn-contra.org/esr-projects/

ESR1 Title: Comparing tumour phylogenies from single cell data versus bulk sequencing data University: University of Cambridge Secondments: ETH, SEVENBRIDGES.

ESR2 Title: The mechanisms of coding and non-coding oncogenic alterations (including bioinformatics predictions and experimental validation; 70%/30%) University: IRB Secondments:  Merck, University of Vigo, and KCL/Crick

ESR3 Title: Identification of drivers of relapse and metastasis (mostly bioinformatics analyses, with possibility of some experimental validation; 90%/10%) University: IRB Secondments: ETH, KTH, and KCL/Crick.

ESR4 Title: Estimating tumour phylogenies from single-cell SNV and CNA data. University: ETH Secondments: University of Cambridge, KTH

ESR5 Title: Evolutionary history of circulating tumour cells and distant metastases Host institution: University of Warsaw Secondments: ETH Zurich, University of Vigo, and University of Cambridge

ESR6 Title: Identification and impact of clonal and subclonal driver alterations on cancer progression University: KCL/Crick Institute Secondments: IRB, KTH, and University of Cambridge.

ESR7 Title: Inferring tumour Evolution and Migration University: ETH Secondments: University of Warsaw, University of Vigo

ESR8 Title: Models and inference for Single-cell sequencing and tumour evolution University: KTH Secondments:  IRB, Ardigen (Krakow), ETH, University of Vigo.

ESR9 Title: Evolution of drug resistance on genetic and phenotypic levels Host institution: University of Warsaw Secondments: Merck, Ardigen, and KCL/Crick

ESR10 Title: Driver events, evolutionary dynamics and interplay with the external environment across cancer types  University: KCL/Crick Institute Secondments: (1) University of Vigo, ETH, and IRB

ESR11 Title: Estimation of tumour growth rates from NGS data University: University of Vigo Secondments: KCL/Crick, KTH, University of Cambridge, and Torusware

ESR12 Title: Mutational patterns and models within tumours University:  University of Vigo Secondments: IRB, ETH, KTH , and Gradiant.

ESR13 Title: Integrated image and genomics University: ICR Secondments: University of Cambridge, University of Vigo, and KTH

ESR14 Title: Spatial genetics and transcriptomics of pancreatic and ovarian cancer University:  University of Cambridge Secondments: Spatial Transcriptomics and BCCRC (Vancouver)

ESR15 Title: Reconciling tumour trees and multiple tumour progression models University: KTH Secondments: KCL/Crick, Ardigen, University of Cambridge, and BCCRC

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

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 Temporary position
Contract type Full time
First day of employment According to agreement
Salary According to doctoral student salary agreement
Number of positions 15
Full-time equivalent 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number D-2017-0881
Contact
  • Jens Lagergren, +46 (0) 739-682322
Published 07.Dec.2017
Last application date 25.Feb.2018 11:59 PM CET

Return to job vacancies