Two Postdoc or PhD positions in Dutch Natural Language Processing within Mental Healthcare, 1.0 FTE at Utrecht University and 1.0 FTE at Technical University Eindhoven
Technical University Eindhoven and Utrecht University are looking for 2 fully funded, two-year Postdoc/PhD candidates in Dutch Natural Language Processing within Mental Healthcare, 1.0 FTE at Utrecht University and 1.0 FTE at Technical University Eindhoven. Interested? Read more and apply.
- Domplein, Utrecht, Utrecht
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 36 - 40 uur
- € 3255 - € 4272 per maand
The Applied Data Science lab at Utrecht University (UU), the Information Systems group at Technical University Eindhoven (TUe) and the Psychiatry department of the University Medical Center Utrecht (UMCU) seek to appoint 2 full time Postdoc Researchers or PhD candidates for the project “COVIDA: Computing Visits Data for Dutch Natural Language Processing in Mental Healthcare” led by Dr. Marco Spruit. The COVIDA project kickstarts the interuniversity and interdisciplinary COVIDA research group by furthering the state-of-the-art in Natural Language Processing technologies for Dutch to improve daily practices in Mental Healthcare.
COVIDA’s scientific objective comprises the development of a hybrid Dutch language model to better understand human language in general, and Dutch Mental Healthcare language use in particular. We operate within the Design Science Research paradigm to model our computational experiment findings from both Computational Linguistics (i.e. knowledge-based) and Machine Learning (i.e. data-driven) inspired representations. Our societal contribution consists of a publicly available self-service facility for Natural Language Processing (NLP) of already routinely collected Dutch medical texts. Thus, COVIDA aims to deliver a game-changing innovation of Dutch mental healthcare institutions’ daily practices by enabling healthcare professionals throughout the Dutch language area to reuse their daily clinical notes by nurses and doctors from patients’ EHRs to predict inpatient violence risk assessment, depression, and more. Your core research task is to design, implement and evaluate NLP pipelines for Dutch clinical texts which utilise linguistic and domain knowledge and structured data in a privacy-by-design architecture from both Deep/Transfer Learning and symbolic NLP perspectives.
- For the Postdoc positions, you hold (or will obtain during the application period) a doctorate (PhD) in Artificial Intelligence, Engineering, Data Science, Computational Linguistics or other relevant areas. For PhD candidates, you hold a MSc in one of the areas above.
- You have demonstrable expertise in Computational Linguistics (Natural Language Processing) and/or Machine Learning (including Deep Neural Networks and Transfer Learning techniques).
- You have good programming skills (preferably in Python).
- You preferably have a good understanding of Dutch.
- You have a track record of publications in impact journals and/or NLP/ML conferences.
- You also have good English language skills in academic writing and presentation.
For the Postdoc positions, the candidate is offered a full time position for two years. Further funding will be aimed for, to extend the project. The gross salary is in the range between € 3,255 and maximum € 4,272 (scale 10 Collective Labour Agreement Dutch Universities) gross per month for a full time employment.
For the PhD candidate position, the candidate is offered a full-time position of four years. Further funding will be aimed for, to extend the project. The gross salary is in the range between € 2,325 and maximum € 2,972 (P-Scale Collective Labour Agreement Dutch Universities) gross per month for a full time employment.
The salary is supplemented with a holiday bonus of 8% and an end-of-year bonus of 8,3% per year. In addition we offer a pension scheme, a partially paid parental leave and flexible employment conditions. Conditions are based on the Collective Labour Agreement Dutch Universities. The research group will provide the candidate with necessary support on all aspects of the project. For further information, visit our website: working at Utrecht University.
We stimulate an open and positive work environment and will aim to accommodate your personal preferences.
Additional informationFor more information, please contact Dr. Marco Spruit (Associate Professor Applied Data Science), via firstname.lastname@example.org.
To exemplify, this project will further build upon recent Dutch NLP work, e.g. Menger, Spruit, Est, Nap & Scheepers (2019). Machine Learning Approach to Inpatient Violence Risk Assessment Using Routinely Collected Clinical Notes in Electronic Health Records. JAMA Network Open, 2(7), e196709.
Middels onderstaande knop kun je direct solliciteren op deze vacature.Reageer op deze vacature