PhD position - Understanding human biases during AI-aided systematic reviewing

at  Universiteit Utrecht

3584 Utrecht, Utrecht, Netherlands -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate29 Jul, 2024ANG 2 Annual30 Apr, 2024N/ASociology,Software,Dutch,Open Source Software,Economics,Communication Skills,Data Science,Public Administration,Quantitative Research,Teaching,Psychology,Statistics,English,Python,GithubNoNo
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Description:

Do you want to understand how and why humans interact with an AI to accelerate systematic reviews? If so, apply for this PhD position! This position is part of the bigger project “Transparent and Reproducible AI-aided Systematic Reviewing for the Social Sciences (TRASS)”.

YOUR QUALITIES

We are looking for an enthusiastic colleague who meets multiple of the following requirements:

  • You have (completed or almost completed) a Research Master’s degree in Psychology, Sociology, Methods & Statistics, Organisation Science, Economics, Management, Public Administration, or a similar study.
  • You have the ambition to conduct excellent scientific research and are motivated to create an impact with your research.
  • You have an affinity with transdisciplinary research.
  • You have demonstrable affinity and experience with quantitative research such as (field/lab) experiments and/or questionnaires.
  • You need an interest in systematic reviewing and AI-aided techniques, or have used software like ASReview, to accelerate the screening process.
  • You have an affinity with or strong interest in machine learning / AI / NLP.
  • You have a demonstrable affinity with open science, open-code and/or open-source software.
  • You have experience with R (Markdown) or Python (Jupyter Notebooks).
  • You are familiar with Github.
  • You have excellent verbal and written communication skills in English (or Dutch), which you can prove with for instance your Bachelor’s or Master’s thesis.
  • You are social, well-organised, communicative, and collaborative.
  • You are interested in contributing to high-quality teaching, including supervising students, teaching lectures in data science and statistics.

ABOUT US

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 strategic themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow.
The Faculty of Social and Behavioural Sciences is one of the leading faculties in Europe providing research and academic teaching in cultural anthropology, educational sciences, interdisciplinary social science, pedagogical sciences, psychology, and sociology. Almost 7,000 students are enrolled in a broad range of undergraduate and graduate programmes. The Faculty of Social and Behavioural Sciences has some 1,100 faculty and staff members, all providing their individual contribution to the training and education of young talent and to the research into and finding solutions for scientific and societal issues. The faculty is located at Utrecht Science Park near the historical city centre of Utrecht.
The current project will be part of the DISC-AI-lab (AI-aided knowledge discovery), one of the official AI-labs at Utrecht University. You will be officially appointed at the Methodology and Statistics Department of the Faculty of Social and Behavioural Sciences and will work one day per week in the AI-lab with Rens van de Schoot. The other days you work at the Utrecht School of Governance and will be part of the Public Management Research group, where Lars Tummers and Henrico van Roekel are also situated. You can work 1-2 days a week from home.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Education Management

Teaching / Education

Education, Teaching

Graduate

Administration, Economics, Management, Psychology, Statistics, Public Administration, Sociology

Proficient

1

3584 Utrecht, Netherlands