Phd On Fairness Of Nlp-Supported Clinical Decision-Making Process In Healthcare (1.0 Fte)

Utrecht University
January 16, 2023
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Offerd Salary:€2,541 to €3,247
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PhD on fairness of NLP-supported clinical decision-making process in

healthcare (1.0 FTE)

PhD on fairness of NLP-supported clinical decision-making process in

healthcare (1.0 FTE)

Job description Text mining and Natural Language Processing (NLP) systems are proving very useful for clinical care and research. Several decisions on patient inclusion/exclusion and coding of key study variables in clinical studies are taken out of the hands of clinicians and put into the care of NLP systems. However, clinical care is not always equitable; for example, women present very different stroke symptoms from men, leading to underdiagnosis and undertreatment of female stroke victims. These inequities are inevitably encoded in the electronic health records (EHR) corpora mined by clinical data scientists. The aim of this project is to study the extent to which existing healthcare inequities are propagated by the application of text mining/NLP to EHR records and to develop methods to assess and reduce the impact of the encoded inequities.

Qualifications The successful candidate is a talented and enthusiastic upcoming researcher with a strong interest on health inequalities in clinical NLP systems. As a PhD student you will do research at the highest scientific level in a nice and open environment. Do you want to contribute to studying health inequalities in clinical NLP systems? Then apply as a PhD student to this project!

Offer The vacancy is for 1.0 FTE for 4 years. The appointment is initially for one year, starting in 2023, with a possibility of extension after a positive evaluation. The appointment should lead to the completion of a dissertation within four years. The salary ranges full-time from €2,541 to €3,247 gross per month (salary scale P, in accordance with the CAO Dutch Universities). The salary is supplemented with an annual vacation allowance of 8% and a year-end bonus of 8.3%. About the organization

A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University, the various disciplines collaborate intensively towards major societal themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Sustainability.

The Faculty of Social and Behavioural Sciences aspires to have a diverse body of staff and students and strives to create and sustain a safe and inclusive environment for everyone, in line with Utrecht University's Equality, Diversity and Inclusion policy.

The department of Methodology and Statistics among other activities in this area, hosts the Social Data Science (SoDa) team and the open-source project ASReview as part of ODISSEI, the Dutch national infrastructure for the social sciences. The department plays a central role in Utrecht University's Applied Data Science focus area and participates in the focus area of Human-centered Artificial Intelligence. Additionally, the department collaborates with the strategic themes Dynamics of Youth and Institutions for Open Societies. Developing a societal vision on automated decision making concerns us all. We believe that a diversity of perspectives in our consortium will be important in developing an inclusive societal vision and strive therefore also in our hiring policy for encouraging applicants from diverse backgrounds. We are committed to creating an environment of mutual respect, inclusiveness, equal opportunities with room for situated experiences, diverse perspectives, and ideas to flourish. This commitment applies to our research, organisation, room for flexibility, training, and community activities as well as our hiring strategy.

Additional information For more information about the project and this vacancy, contact Anastasia Giachanou (Assistant Professor) via a.giachanou@uu.nl.

Everyone deserves to feel at home at our university. We welcome employees with diverse backgrounds and perspectives. Please upload your cover letter and a full CV using the 'apply' button.

Dates for the interviews will be determined with the applicants after the closing date of applying.

The application deadline is 16/01/2023

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