PhD on fairness of NLP-supported clinical decision-making process in healthcare (1.0 FTE)

• Develop, conduct, and publish research on the field of clinical NLP and data science;
• Active participation in the research teams of the UU M&S department and especially in the groups of Human Data Science and NLP;
• Contribute to the public debate and organise outreach activities of ALGOSOC;
• Contribute to the overall program in terms of events, research meetings, activities;
• Collaborate with other researchers within the ALGOSOC consortium;
• Help co-supervising research projects of students working on related topics.

• A Master degree in Data Science, Computer Science, Computational Linguistics, or a related field with interest in medical applications, or;
• A Master degree in technical medicine or similar and experience in NLP;
• A background in machine learning and deep learning is a plus;
• Strong programming skills;
• An excellent written and spoken command of English, as demonstrated by publications in English-language journals (written and spoken command of other languages, including French, German and/or Dutch is a plus);
• The ability, willingness, and commitment to do both autonomous and team work;
• Experience with organising workshops, lecture series, and similar events;

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 is one of the leading faculties in Europe providing research and academic education in the fields of cultural anthropology, educational sciences, interdisciplinary social sciences, pedagogical sciences, psychology and sociology. Nearly 6,000 students are enrolled in a wide range of undergraduate and graduate programmes. The faculty has approximately 850 employees, all of whom make their individual contributions to the education and training of young talent and to researching and finding solutions to scientific and social issues.

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. 

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.
To apply, please send your Curriculum Vitae, including a letter of motivation and a writing sample, via the ‘apply’ button. You can address your application to Utrecht University, Department of Methodology and Statistics, Anastasia Giachanou. In your motivation letter, please refer to the specific code of this vacancy: Health_006
Please apply for one position within the ALGOSOC programme only. In case you are interested in multiple positions within the ALGOSOC programme, please indicate this in your motivation letter by referring to the specific codes of the vacancies. You can find an overview of all our vacancies within the ALGOSOC programme on algosocvacancies.org .

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