Job:Postdoc – Natural Language Processing / Text Mining
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Do you want to develop cutting edge technology to support cutting edge science? If you have or about to finish your PhD or have equivalent experience within Computer Science with an emphasis on Natural Language Processing, we have just the perfect job waiting for you. As part of the Novo Nordisk Foundation, Center for Biosustainability (DTU Biosustain), you will get the opportunity to work with the latest technologies and break new ground to the benefit of mankind.

Based at the Technical University of Denmark (DTU) in Copenhagen, you will contribute to the further research and development of our new state-of-the-art informatics platform. By combining artificial intelligence, mechanistic modelling and knowledge graphs we are deriving deep insights from big data to address some of our world’s greatest challenges. Your work directly supports approx. 300 world class scientists in Copenhagen and San Diego in their quest for development of new environment friendly products, better and less energy consuming manufacturing processes, new medical treatments, climate friendly farming, etc. Please note that this position is time limited until December 31, 2023.

Library and algorithm development, natural language generation, supervision…

Your overall focus is to build new and better scientific knowledge. By unfolding your expertise within Natural Language Processing, you will help Scientists to consume, quickly understand and integrate huge amounts of knowledge that today is shared in multiple formats like PowerPoint, Google Slides, Electronic Lab Notebooks, books, etc. Your tasks will include to:

  • Develop new algorithms for relation extraction and summarisation (extractive, abstractive), using (semi)-supervised and unsupervised techniques, transfer learning, distant supervision from the scientific literature
  • Evaluate and improve the performance of NLP models and validate the accuracy of extracted knowledge
  • Work closely with a software engineering team to translate best-performing techniques into production
  • Support and lead graduate and undergraduate students, as well as summer interns in NLP

You will join a multi-disciplinary team with diverse specialties in computational biology, data engineering and software development. The team is geographically dispersed between the Technical University of Denmark (DTU) and the University of California San Diego (UCSD). Our culture is characterised by trust, knowledge sharing, joined decisions and helpfulness. Travelling is not part of the job but as we work closely together with colleagues in the US, you must be ready to do some calls outside normal office hours.

Your work will be mentored by our Associate Scientific Director, Sophia Ananiadou. Sophia is also the Director of the National Text Mining Centre (NaCTeM) (, Department of Computer Science at The University of Manchester, UK. Although the position will be located at DTU Biosustain, the NLP research will be carried out in collaboration with NaCTeM. The successful candidates will benefit from the vibrant research environments of both DTU Biosustain and NaCTeM.

Computer Science and Natural Language Processing specialist

We are looking for an ambitious Scientist that likes to create results via knowledge sharing and teamwork with due respect to professional and cultural differences. At the same time, you must be able to define the road map and be the primary driver of turning ideas into action. Additionally, your CV comprises:

  • A PhD (or nearly completed) or equivalent experience in Computer Science, Artificial Intelligence with an emphasis on Natural Language Processing
  • Excellent knowledge of Deep Learning methods
  • Experience in developing NLP algorithms
  • Experience in producing experiments and evaluating NLP models using large data sets.
  • Experience in relation extraction and summarisation using deep learning
  • Good knowledge of graph-based Natural Language Processing
  • Excellent programming skills (Python) and knowledge of PyTorch, Tensorflow for implementation of new NLP algorithms
  • Excellent English and academic writing skills.
  • Ability to communicate and liaise with team members and project partners in order to fulfil the requirements of the post.
  • Proven record of publication in high quality conferences such as ACL, EMNLP, Coling, etc.
  • Preferably, familiarity with graph analysis algorithms and statistics (not a prerequisite for applying)
  • Motivation for working within biomedical text mining and the ability to work collaboratively with teams

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 position is time limited until December 31, 2023.

You can read more about career paths at DTU here.

Further information If you would like additional information about the position, please contact Evelyn Travnik, Chief Information Officer at or Sophia Ananiadou at

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 15 August 2021 (Danish time).

Apply online at

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", 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)
  • List of publications

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

The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain)

Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell factory design to foster sustainable lifestyles in relation to three application areas: Sustainable Chemicals, Natural Products, and Microbial Foods. Learn more at

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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 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.

NLP PyTorch Text Mining Tensorflow • 508 views

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