Postdoc in Data Science and Human Health - DTU Compute

The section for statistics and data analysis is looking for a Post doc to join the section, with the aim of strengthening the section’s work within scientific consultancy, statistics in human health and general data science. Additionally, you will have the opportunity to work with affiliated private companies on solving, and contribution to the solution to problems within nature are data science. You will contribute to the research in the department, in particular within statistics, human health and data science, where you will work with dedicated colleagues to gain insight for the benefit of society.

To fulfill the position, the candidate must possess knowledge of data science within human health and/or biology, and preferably have knowledge on the application of data science within private companies. 

Responsibilities and qualifications

• Provide research based scientific advice for private companies;
• Participating in research within the section, primarily in the areas of data science in human health and biostatistics;
• Participate in project management and funding acquisition;
• Facilitate ad-hoc tasks within the section’s responsibilities in teaching and research;
• Take part in publication of research results.

The ideal candidate will have the following qualifications:

• An education as civil engineer or biostatistician;
• Familiarity with applied statistics;
• Have the proven ability to cooperate in cross-disciplinary environments;
• Knowledge of circumstances under which university scientific advice is given to private companies;
• A background within scientific computing, using tools such as R, Julia or Python;
• Knowledge of data science and epidemiology within human health;
• Be able to work independently and take initiatives within research:
• Possess communication skills to scientific and non-scientific recipients.

As a formal qualification, you must hold a PhD degree (or equivalent). 

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. 

Salary and terms of employment 
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

The period of employment is 2 years. Starting date is 1 December 2024 (or according to mutual agreement). The position is a full-time position.

You can read more about career paths at DTU here.

Further information 
For further information regarding the position, and general information about the section and DTU Compute, please contact head of section Bo Friis Nielsen, bfni@dtu.dk.

You can read more about DTU Compute here.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application procedure 
Your complete online application must be submitted no later than 12 November 2024 (23:59 Danish time). 

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications 

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As the position involves research in critical technology, which is subject to special rules for security and export control, among other things, open-source background checks will be conducted on qualified candidates for the position.

DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, compute