Postdoc On Trustworthy Ai-based Systems for
1 maand geleden
Postdoc on Trustworthy AI-based Systems for Sustainable Growth
**Faculteit/Dienst**:Faculteit der Natuurw., Wiskunde & Informatica**Opleidingsniveau**:Gepromoveerd**Functie type**:Wetenschappelijk Personeel**Sluitingsdatum**:10 juni 2024**Vacaturenummer**:13000- Are you interested in making contributions to trustworthy AI-based systems **and** in understanding and uncovering policy implications of such systems?- We are seeking a postdoc to join our team, someone who is keen to contribute to the development of trustworthy machine learning systems and to translating algorithmic advances and challenges in machine learning for policy makers.**What are you going to do?**
- This one-year position is part of the ten-year ROBUST program, an initiative of ICAI, the national Innovation Center for Artificial Intelligence. The position is based in Amsterdam, with leading experts Roel Dobbe (Delft University of Technology) and Maarten de Rijke (University of Amsterdam) as supervisors. You will have access to a local and national ecosystem that provides opportunities for collaboration around the research labs that make up ICAI. Your work can be executed in close relation to the establishment of new policy initiatives to guide the development and governance of AI and algorithmic systems.**Tasks and responsibilities**:
- Conducting independent research in trustworthy AI-based systems in one of the ROBUST labs;
- Taking the lead in the ROBUST efforts to translate developments in trustworthy AI-based technology into actionable policy implications, and for policy makers
- Actively contributing to the supervision of PhD students;
- Assisting in teaching courses in the bachelor and master programs and supervising Bachelor and Master theses.
**What do you have to offer?**
**Your experience and profile**:
- PhD in artificial intelligence;
- An excellent publication record in AI, with publications reporting on advances in AI technology and policy, in venues such as FAccT, AIES, NeurIPS, ICML, ICLR, SIGIR, TheWebConf, WSDM, ACL, EMNLP, AAAI, IJCAI-ECAI;
- Demonstration of open science output, such as open-source code and/or data;
- Substantial knowledge of machine learning;
- Demonstration of ability to contribute to interdisciplinary cooperation and multidisciplinary development, especially at the interface of technology and policy;
- Professional command of English and the willingness to learn Dutch**Our offer**
- We offer a temporary employment contract for 38 hours per week for a period of 12 months. The preferred starting date is as soon as possible.-
- Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:
- 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January;
- Multiple courses to follow from our Teaching and Learning Centre;
- Multiple courses on topics such as leadership for academic staff;
- Multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses;
- 7 weeks birth leave (partner leave) with 100% salary;
- Partly paid parental leave;
- The possibility to set up a workplace at home;
- A pension at ABP for which UvA pays two third part of the contribution;
- The possibility to follow courses to learn Dutch;
- Help with housing for a studio or small apartment when you’re moving from abroad.
**About us**- The Faculty of Science (FNWI) has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.- The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.- The research of the Information Retrieval Lab Amsterdam (IRLab) focuses on information retrieval: technology to connect people to information. We work on search engines, on recommender systems, and on conversational assistants. There is a heavy emphasis on data-driven methods, for understanding content, for analyzing and predicting user behavior, and for make sense of context. We combine fundamental, experimental, and applied research, and we do so by using a broad range of data: text, images, structured information. We are involved in many projects with other groups, both within and outside academia. Our research is funded by NWO, KNAW, the EU and through a range of public-private partnerships. We are strong believers of pursuing great science with great societal impact, and va
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