Centrum Wiskunde & Informatica (CWI) has a vacancy in the Human-Centered Data Analytics research group for a talented Postdoc on the subject of Transparent AI Pipelines for Information Quality Assessment.
The postdoc will work in the context of the “The eye of the beholder: Transparent pipelines for assessing online information quality” project, funded by the Netherlands eScience Center, for three years.
The overall goal of the project is to investigate how to design AI pipelines that are fully transparent and tunable by an end-user. The pipeline will be applied to the task of automated information quality assessment, a task that can be perceived as subjective or biased, and that thus requires a high level of transparency and customisation to support specific scholarly requirements. The postdoc will be appointed by CWI and will collaborate with the Humanities faculty of the University of Amsterdam.
Candidates are required to have a completed PhD in the area of Computer Science or a related discipline, and a specialization in Data Science, Human-Computer Interaction or related field. Needed qualifications for candidates include proven research talent and good academic writing and presentation skills. Candidates are expected to have an excellent command of English.
Terms and conditions
The terms of employment are in accordance with the Dutch Collective Labour Agreement for Research Centres ("CAO-onderzoeksinstellingen"). The gross monthly salary for an employee on a full time basis, depending on relevant work experience, ranges from € 3,704 to € 4,514. The appointment will be for a period of 3 years.
Employees are also entitled to a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.33%. CWI offers attractive working conditions, including flexible scheduling.
Please visit our websites for more information about our terms of employment:
Information and application
All applications should include a detailed resume and motivation letter. The application deadline is 11 July 2021.
For residents outside the EER-area, a Toefl English language test might be required.
For more information about the vacancy, please contact dr. Davide Ceolin, email firstname.lastname@example.org.
CWI encourages a diverse workforce: we endeavour to develop talent and creativity by bringing people from different backgrounds and cultures together. We recruit and select based on capabilities and talent. We strongly encourage everyone with the appropriate qualifications to apply for the vacancy, regardless of age, gender, origin, sexual orientation or physical abilities.
Centrum Wiskunde & Informatica (CWI) is the Dutch national research institute for mathematics and computer science and is an institute of the Netherlands Organisation for Scientific Research (NWO). The mission of CWI is to conduct pioneering research in mathematics and computer science, generating new knowledge in these fields and conveying it to trade, industry, and society at large. CWI is an internationally oriented institute, with 160 scientists from approximately 30 countries. The facilities are first-rate and include excellent IT support, career planning, training, and courses. CWI is located at Amsterdam Science Park which is home to one of the largest concentrations of beta science in Europe. A melting pot of innovation. Companies looking to collaborate can work together with brilliant students, scientists and fellow entrepreneurs. Collectively they develop revolutionary solutions for today’s issues and tomorrow’s challenges.
About Research group
Human-Centered Data Analytics Research group
The HCDA research group studies how AI systems can be designed in such a way that they adhere to modern day societal values of inclusivity and accountability, and how AI can be applied responsibly in the humanities, cultural heritage and media sectors.
Based on empirical evidence of how humans interact with data and systems, HCDA develops data-driven methods that are transparent, trustworthy, diverse, and aware of cultural differences.
The group targets 1) hybrid AI systems where machine learning and explicit, symbolic knowledge are combined as well as 2) human-in-the-loop AI systems, where domain experts, data scientists or lay people, such as crowd workers, have an active role in an AI pipeline.
Keywords: Knowledge representation, Human-computer interaction, Responsible AI.