Hello all,
I’m posting this on behalf of Suzan Verberne for a vacancy in our joint 4D Picture project, please note the deadline is rapidly approaching …
We have a vacancy for a postdoctoral researcher on Natural Language Processing in the Health and Medical Domain, in Leiden, the Netherlands:
https://www.lumc.nl/en/about-lumc/werken-bij/vacancies/d.23.bh.ak.116-postdo...
The deadline for application is January 22nd.
----- Postdoc researcher Natural Language Processing in the Health and Medical Domain -----
About your role ----- The position is part of the interdisciplinary, international Horizon Europe project 4D PICTUREhttps://4dpicture.eu/. The 4D PICTURE project aims to improve shared decision making between patients with cancer (and their families) and healthcare providers, by using a design-method called ‘MetroMapping’ to improve care paths. For these aims, the project draws on large amounts of evidence from different types of European data.
The postdoc position is embedded in work package 3: ‘Text mining and citizen science’, under the supervision of Suzan Verberne, professor of Natural Language Processing. The key project tasks of the postdoc are medical named entity recognition, medical entity linking, and analysis of written (informal) data by patient and healthcare providers. You will work with Dutch-language data, but fluency in Dutch is not required for the position.
There is space in the position to engage in curiosity-driven research in the context of domain-specific NLP. Method development, paper writing, and participation in key conferences are part of the job, and grant proposal writing for personal development is encouraged.
As a postdoc researcher, your key responsibilities will include conducting research in the area of health/medical NLP and actively participating in activities of the 4D PICTURE project (project meetings, research collaboration, organizational activities). You will also co-supervise BSc, MSc and PhD students on topics related to domain-specific NLP. Lastly, you will actively participate in the Text Mining and Retrieval research group (group meetings, research collaboration).
About you ----- - A PhD in Natural Language Processing or a strongly related field. - Knowledge of the health/medical domain and domain-specific NLP. - First author papers published in respected and relevant conference proceedings or journals. - Good writing skills and proficiency of the English language. - Able to work independently, in a team, and in a student (co-)supervisory role. - An academic, creative, and curious mindset. - Willing to learn Dutch on a basic level.
Our offer ----- Getting better by breaking new ground; that's our mission. This applies not only to healthcare, but also to our employees. In order to be able to continue to learn and develop, we offer internal and external training. You are also entitled to an end-of-year bonus (8,3%), holiday allowance, sports budget and bicycle scheme. Furthermore, as an employee of LUMC, you are also affiliated with the ABP pension fund. This means that 70% of your pension premium is paid by LUMC, leaving you with a higher net salary.
About your workplace ----- You will be appointed as a researcher in the interdisciplinary European project 4D PICTURE (Work package 3: Text mining and citizen science). Your appointment is at the Leiden University Medical Center (LUMC), and you will have a guest appointment and office in the Leiden Institute of Advanced Computer Science (LIACS), where you will be embedded in the Text Mining and Retrieval Group to work on Natural Language Processing. The research group has many active collaborations, weekly group meetings, and discussions among all group members. The 4D PICTURE project is a stimulating, interdisciplinary environment that offers many opportunities for expanding your network.
-- Suzan Verberne, full professor Leiden Institute of Advanced Computer Science Email: s.verberne@liacs.leidenuniv.nlmailto:s.verberne@liacs.leidenuniv.nl http://liacs.leidenuniv.nl/~verbernes http://tmr.liacs.nlhttp://tmr.liacs.nl/ --
Paul Rayson Director of UCREL and Professor of Natural Language Processing SCC Data Theme Lead School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, LA1 4WA, UK. Web: https://www.research.lancs.ac.uk/portal/en/people/Paul-Rayson/ Tel: +44 1524 510357 Contact me on Teamshttps://teams.microsoft.com/l/chat/0/0?users=p.rayson@lancaster.ac.uk