Postdoc in Data Science for a National Neurophysiologic Database – Technical University of Denmark

Postdoc in Data Science for a National Neurophysiologic Database – Technical University of Denmark

Do you want to play a key role in using personal health data for research in diagnosing, monitoring and treating neurophysiological disorders? We are looking for a data scientist with a keen interest in neuroscience/neuroinformatics to help us build the National Neurophysiologic Database in Denmark.

The National Neurophysiologic Database is a 5-year project funded by the Novo Nordic Foundation with partners from Copenhagen University hospital, Computerome and the Technical University of Denmark. The purpose of the database is to collect neurophysiological data from all hospitals in Denmark and make it available for research. When completed, the database will contain data from more than 100.000 measurements, that can be linked to detailed patient records, making it the largest database of its kind worldwide and an unmatched resource for neurophysiological research.

Responsibilities and qualifications
Your role will be to structure the database in collaboration with researchers in neurophysiology, medicine and data science. You will build tools for data harmonization and quality control. You will also play a key role in analysing data for neurophysiological research. Finally, you will also participate in developing multiple privacy preserving levels of access to the database.

Our ideal candidate holds a PhD in neuroinformatics, data science or a related field, and has a keen interest in developing a research career in neuroinformatics with the National Neurophysiologic Database at its center.

The ideal candidate for the position will have the following qualifications:
β€’ Strong programming skills in Python and, preferably, also Matlab.
β€’ Experience in using version control systems and documenting code
β€’ Experience in managing larger software projects with many partners
β€’ Experience in communicating with end users and documenting their requirements
β€’ Solid experience with full machine learning pipelines including feature design and selection, classification and validation.
β€’ Experience in analysing neurophysiological data, particularly EEG
β€’ Good knowledge of signal processing
β€’ Motivation to pursue or, preferably, extend a research career in neuroinformatics and data science
As a formal qualification, you must hold a PhD degree (or equivalent).

We offer
You will work with dedicated colleagues at the Section for Cognitive Systems at the Technical University of Denmark (DTU) and Copenhagen University Hospital. You will have working facilities at DTU and at Rigshospitalet.

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 initially 1 year but there are further career opportunities after the initial contract based on performance. Starting date is 1 May (or according to mutual agreement). The position is a full-time position.

You can read more about career paths at DTU here: https://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths

Further information
You can get further information from associate professor Tobias Andersen toban@dtu.dk and professor Poul Jennum mobile phone +45 4025 4795.

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

Application procedure
Your complete online application must be submitted no later than 15 April 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:

Fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
β€’ Application (cover letter)
β€’ CV
β€’ Academic Diplomas (MSc/PhD – in English)
β€’ List of publications
β€’ Optional: Letters of reference / Contact information for references
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.

DTU Compute is an internationally unique academic environment spanning the science disciplines: mathematics, statistics and computer science. We are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. We play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour.

The Section for Cognitive Systems at DTU Compute, is an internationally renowned group for machine learning research, with a strong emphasis on applications within the life sciences. Collaboration within the section will be encouraged. The section prioritize an friendly work environment and emphasizes a healthy work/life balance, You can find more information at https://www.compute.dtu.dk/english/research/research-sections/cogsys

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.