Denmark : PhD position in machine learning and oncoviral genomics

The Center for Biological Sequence Analysis at the Technical University of Denmark is seeking highly motivated candidates for a PhD position within machine learning methods in systems biology.

Successful candidates will work in a dynamic team developing, implementing and applying techniques and procedures for high-throughput sequencing and next-gen sequence analysis tools.

The candidate will be responsible for implementing different machine learning method based prediction tools for oncoviruses.

Qualifications

• Candidates should hold a masters degree in bioinformatics, biology, engineering, computer science or similar.
• The candidate must have strong computational skills and prior experience with Unix/Linux command line environments, SQL, as well as either Perl, Python, Ruby or a comparable scripting language.
• The applicant must have prior experience with machine learning methods
• Knowledge of virus biology, NGS analysis and large-scale data mining is considered a plus.
• The applicant must be a good communicator and strong in written as well as spoken English.

Approval and Enrolment
The scholarships for the PhD degree are subject to academic approval, and the candidates will be enrolled in one of the general degree programmes of DTU. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.

Salary and appointment terms
The salary and appointment terms are consistent with the current rules for PhD degree students. The period of employment is 3 years.

Further information
Further information may be obtained from Prof. Thomas Sicheritz-Pontén, thomas@cbs.dtu.dk

Do NOT send applications to this e-mail address, but use the electronic submission system - see below!

Application
We must have your online application by 16 January 2012. Please open the link "apply for this job online", fill in the application form and attach the following documents;

• A letter motivating the application (cover letter)
• Curriculum vitae
• Contact information for 2 references
• Brief description of research experience & interests
• Grade transcripts and BSc/MSc diploma
• Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)

Candidates may apply prior to obtaining their master's degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

Further Information
Application Deadline : 16 January 2012