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-postdoc-onderzoeker-natural-language-processing-voor-het-medische-en-gezondheidsdomein/

The deadline for application is January 22nd.


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Postdoc researcher Natural Language Processing in the Health and Medical Domain
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About your role
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The position is part of the interdisciplinary, international Horizon Europe 
project 4D PICTURE<https://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
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- 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
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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
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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: [email protected]<mailto:[email protected]>
http://liacs.leidenuniv.nl/~verbernes
http://tmr.liacs.nl<http://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 
Teams<https://teams.microsoft.com/l/chat/0/[email protected]>

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