Apply no later than 5 May 2017
Apply for the job at DTU Bioinformatics by completing the following form.
Two PhD positions are available at the newly formed Department of Bio and Health Informatics (DTU Bioinformatics) at the Technical University of Denmark within the area of Genomic Epidemiology, as part of the EU FP7 COMPARE project.
The research at DTU Bioinformatics is focused on benefitting from the wealth of new data and data types being generated within Life Science to improve human and animal health and develop solutions to problems of biotechnological and industrial interest. A cornerstone in achieving this is the dedicated effort within DTU Bioinformatics to develop artificial intelligence and machine learning solutions to the challenge of handling and interpreting large scale and heterogeneous data.
Project 1: Typing and pheno typing based on direct sequencing of samples
Whole genome sequencing is currently being adopted for surveillance and diagnostics. The next step is to develop bioinformatics methods that can be used to fast, efficiently, and reliably type on the species and sub species level, and assign phenotypes such as resistance patterns and virulence.
Project 2: Evergreen methods for phylogeny
Thousands of new sequences are becoming available every day for many species relevant for human and animal health. It is becoming infeasible to recreate phylogenetic trees for all these methods using traditional methods. The aim of the project is to develop methods that can update phylogenetic trees at the rate by which new isolates become available, while still making the trees as accurately as possible.
Candidates should hold a master’s 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. 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 scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the PhD School of the department. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide .
The assessment of the applicants will be made by Professor Ole Lund.
We offer an interesting and challenging job in an international environment focusing on education, research, scientific advice and innovation, which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world.
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 may be obtained from Professor Ole Lund, tel.: +45 4525 2425, mail: email@example.com .
You can read more about the Department of Bio and Health Informatics on www.bioinformatics.dtu.dk .
Please do not send applications to this e-mail address, instead apply online as described below.
Please submit your online application no later than 5 May 2017.
Applications must be submitted as one pdffile containing all materials to be given consideration. To apply, please open the link "Apply online", fill in the online application form, and attach all your materials in English in one pdf file. The file must include:
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma (an official translation into English)
- 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.
DTU Bioinformatics is a new department at DTU formed by the bioinformatic part of the former Department of Systems Biology. DTU Bioinformatics is operating at the highest level of research, teaching, innovation, and consultancy services within the areas biotechnological informatics and health informatics. The department’s activities in the fields of research, teaching, scientific advice, and innovation are centred on the following research areas: health and cancer, immunology, infectious diseases, proteins, molecular biology, and molecular mechanisms, plants and biotechnology and big data infrastructure.
DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,300 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.
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