Doctoral student in Machine Learning in Computional Biology - Hiring in process/Finished, not possible to apply

Project description

Third-cycle subject: Computer Science

These projects are concerned with method development in machine learning as well as applications of the developed methods. The goal is to facilitate investigations of developmental, temporal, and spatial aspect through analysis of cutting edge biological data, which in some cases has single-cell resolution and in cases carries spatial information. Methodologically, this project will be focused on advanced methods for computational inference such as Expectation Maximization, Sequential Markov Chain, Variational Inference, Markov Chain Monte Carlo (MCMC), and Particle MCMC methods, as well as obtaining efficient implementations of such methods by taking advantage of modern computational technology. We are collaborating with groups developing new experimental methods as well as generating biomedical data. We are particularly interested in methods with applications in studies of tumor progression and tumor-immune interactions.

What we offer

• The possibility to study in a dynamic international research environment in close cooperation with industries and advanced universities the world over.
• Life-long network through KTH's Alumni organization.
• A personal study plan to support your development within your areas of interest.
• A workplace with many employee benefits and monthly salary according to KTH's doctoral student salary agreement.
• Work and study in Stockholm, one of Europe´s fastest growing capitals, which is close to both nature and the sea.
• Help to relocate and get settled in Sweden and at KTH.

Eligibility

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:

• passed a degree at advanced level,
• completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
• in any other way acquired within or outside the country acquired essentially equivalent knowledge.

Selection

In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed:

• ability to independently pursue his or hers work,
• ability to collaborate with others,
• have a professional approach and
• analyse and work with complex issues.

You need a very strong computational background, preferably in areas such as algorithm design, machine learning, and HPC. Excellent programming skills are a requirement. A good understanding of biology is clear merit, but a strong motivation to understand and contribute to biological research is a prerequisite.

Target degree: Doctoral Degree

Information regarding admission and employment

Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year and may thereafter be extended. Doctoral students may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

Union representatives

You will find contact information for union representatives on KTH's website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for doctoral section on the section's website.

Application

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:

• CV including publications as well as relevant professional experience and knowledge.
• Copies of diplomas and grades from your previous university studies. Translations to English or Swedish if the original documents are not issued in one of these languages.
• Brief explanation of why you want to conduct research, about your academic interests and how they relate to your previous studies and future goals; max 1 page long.
• Contact information for two reference persons. We reserve the right to contact references only for selected candidates.

Other information

Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.

For information about Processing of personal data in the recruitment process please read here.

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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.