Kungliga Tekniska högskolan, KTH Datavetenskap och kommunikation

KTH Royal Institute of Technology in Stockholm is the largest and oldest technical university in Sweden. No less than one-third of Swedens technical research and engineering education capacity at university level is provided by KTH. Education and research spans from natural sciences to all branches of engineering and includes Architecture, Industrial Management and Urban Planning. There are a total of 13,400 first and second level students and almost 1,900 doctoral students. KTH has 4,900 employees.

KTH Datavetenskap och kommunikation är en av Sveriges mest framstående forsknings- och undervisningsmiljöer inom informationsteknologi med verksamhet på KTH och delvis även på Stockholms universitet. Vi bedriver utbildning och forskning inom både teoretisk och tillämpad datalogi. Den teoretiska datalogin sträcker sig från teoribildning och analys av matematiska modeller via algoritmutveckling till implementation och simulering. Den tillämpade datalogiska forskningen och utbildningen omfattar datorseende, robotik, maskininlärning, högprestandaberäkningar, visualisering, beräkningsbiologi, neuroinformatik och neurala nätverk, samt tal- och musikkommunikation. Dessutom bedrivs tillämpad forskning och utbildning inom medieteknik, människa-datorinteraktion, interaktionsdesign och hållbar utveckling. (

Mer information om KTH Datavetenskap och kommunikation finns på www.kth.se/csc.

Job description

KTH Computer Science and Communication (CSC) invites applications for a postdoctoral position in computational biology.

The department of Computational biology consists of 7 professors, 1 associate professor, 5 postdocs and about 25 PhD students. Three of the professors are located at SciLifeLab where also this position will be located. Science for Life Laboratory (SciLifeLab) is a national center for molecular biosciences with focus on health and environmental research. The center combines frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource and a collaboration between four universities: Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University.

The Project is concerned with Machine Learning and probabilistic modeling applied to cancer, in particular somatic evolution in cancer and cancer heterogeneity. Methodologically, this project will be focused on advanced methods for computational inference such as Expectation Maximization, Sequential Markov Chain, Markov Chain Monte Carlo (MCMC), and Particle MCMC methods, as well as implementation of such methods on modern high performance computers and clusters. We expect to collaborate with Swedish groups developing new experimental methods and data at SciLifeLab as well as with international collaborators, e.g., Shah Lab for Computational Cancer Biology at the British Colombia Cancer Research Center.

Qualifications

A suitable background for this position would be a PhD in Engineering physics, Technical biology, Computer science or similar with qualifications in machine learning and algorithms. An interest in biology is a merit. The applicant must have a high proficiency in spoken and written English. Applicants must be strongly motivated for postdoctoral studies, possess the ability to work independently and perform critical analysis and also possess good levels of cooperative and communicative abilities.

Trade union representatives

You'll 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.

Application shall include the following documents:

1. Curriculum vitae
2. Transcripts from university/university college
3. Brief description of why the applicant wishes to become a doctoral student.

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

Other information

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

Type of employment: Temporary position longer than 6 months
Working hours: Full time
Salary: According to agreement
City: Stockholm
Reference number: D-2014-0772
Published: 2014-12-16
Last application date: 2015-01-31

Please state in the application that you applied via Universitypositions.eu