PhD Position: Investigating Human Bias in AI-Assisted Systematic Reviews
5 dagen geleden
About the Role
We are seeking a highly motivated PhD candidate to join our team at Sticky, where you will be part of a research project focused on understanding human biases during AI-aided systematic reviewing. This project is part of the larger initiative "Transparent and Reproducible AI-aided Systematic Reviewing for the Social Sciences (TRASS)", which aims to foster a synergistic relationship between humans and AI models in the review process.
Key Responsibilities
As a PhD candidate, you will be responsible for conducting high-quality experiments where humans interact with an AI to address questions related to human biases, such as position bias or authority bias. You will also investigate how knowledge about these biases generalizes to other contexts, such as research and university work. Additionally, you will explore the potential biases inherent in AI-assisted processes and how humans can interact with AI models to reduce these biases.
Requirements
We are looking for an enthusiastic colleague who meets multiple of the following requirements:
- You have 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.
What We Offer
We offer a collaborative, enthusiastic, and dedicated team that guides you in your research, teaching, and other tasks. You will receive high-quality PhD education, including courses, presenting at international conferences, and a position for 4-4.5 years (depending on the amount of teaching). Additionally, you will have a working week of 38 hours and a gross monthly salary between €2,770 and €3,539 in the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU)).
About Us
Sticky is a leading research institution focused on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Our faculty 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. We are committed to creating a safe and inclusive environment where everyone can flourish and contribute.
How to Apply
To apply, please send your curriculum vitae, including a letter of motivation, via our website. The first round of interviews takes place in June, and an assessment might be part of the procedure. Our preferred start date is 1 September 2024. Respond no later than June 1, 2024.
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Utrecht, Utrecht, Nederland Sticky VoltijdAbout the RoleWe are seeking a highly motivated PhD researcher to join our team at Sticky, where you will investigate the complex dynamics of human bias in AI-assisted systematic reviewing. As a PhD researcher, you will be part of a collaborative and dynamic team that is pushing the boundaries of human-AI collaboration in systematic reviewing.Key...
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Utrecht, Utrecht, Nederland Sticky VoltijdAbout the RoleWe are seeking a highly motivated PhD candidate to join our team at Sticky, where you will investigate the nuances of human bias in AI-assisted systematic reviews. This exciting project aims to foster a deeper understanding of the complex interplay between human discernment and AI-driven predictive capabilities.Key ResponsibilitiesConduct...
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Utrecht, Utrecht, Nederland Sticky VoltijdAbout the ProjectWe are seeking a highly motivated PhD researcher to join our team and contribute to the Transparent and Reproducible AI-aided Systematic Reviewing for the Social Sciences (TRASS) project. This project aims to explore the nuances of human biases in AI-assisted systematic reviewing and develop strategies to mitigate these biases.Research...
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Utrecht, Utrecht, Nederland Sticky VoltijdAbout the ProjectWe are seeking a highly motivated PhD researcher to join our team in investigating the complex dynamics of human biases in AI-assisted systematic reviewing. This project aims to explore the nuances of human-AI collaboration and its implications for the research process.Research QuestionsWhich biases do humans display when reviewing...
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Utrecht, Utrecht, Nederland Sticky VoltijdAbout the ProjectWe are seeking a highly motivated PhD researcher to join our team and contribute to a groundbreaking project that explores the intersection of human judgment and AI in systematic reviewing. The project, titled "Transparent and Reproducible AI-aided Systematic Reviewing for the Social Sciences (TRASS)", aims to investigate the complex...
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