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PhD position Trustworthy AI

Posted 26 Mar 2024
Work experience
1 to 3 years
Full-time / part-time
Full-time
Job function
Degree level
Required language
English (Fluent)

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Job description

The Delft University of Technology participates in the AI-for-Fintech Lab (AFL) in collaboration with ING. The goal of the lab is to perform world-class research at the intersection of Artificial Intelligence, Data Analytics, and Software Engineering in the context of FinTech. More information about AFL is available at the following link: se.ewi.tudelft.nl/ai4fintech.

More and more software services in the banking domain rely on machine learning. This makes it crucial that the outcomes of the machine learning procedures in these services can be trusted. To be able to assess this, the 7 key requirements of the EU’s Ethics Guidelines for Trustworthy Artificial Intelligence (Human agency and oversight; Technical Robustness and safety; Privacy and data governance; Transparency; Diversity, non-discrimination and fairness; Societal and environmental well-being; Accountability) will need concrete operationalization for the Fintech domain.

In several previous applications of machine learning (and statistical modeling), it has been found that concepts of ‘trust in’ and ‘correctness of’ models are not always clear-cut. Models that seem to perform well according to common performance metrics, may show unexpected behavior in the wild. Seemingly minor researcher degrees of freedom may have major outcomes on final results, and model outcomes may be misinterpreted, even by data scientists.

This calls for stronger quality assurance procedures throughout the machine learning application workflow. This project will focus on enabling and supporting such procedures, which pro-actively should include both humans and algorithms in the decision-making loop.

Related work:

  • Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, and Alan Hanjalic, “Are Nearby Neighbors Relatives? Testing Deep Music Embeddings”. Frontiers in Applied Mathematics and Statistics, vol. 5, 2019.
  • Jaehun Kim, Andrew M. Demetriou, Sandy Manolios, and Cynthia C. S. Liem, “Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music Preferences,” in UMAP 2019.
  • Cynthia C. S. Liem and Chris Mostert, “Can't Trust the Feeling? How Open Data Reveals Unexpected Behavior of High-level Music Descriptors,” in ISMIR 2020.
  • Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna Wallach, and Jennifer Wortman Vaughan, “Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning,” in CHI 2020.

Background: Responsible AI, Machine Learning, Intelligent User Interfaces

Supervisors: Cynthia Liem, Arie van Deursen

Requirements

An excellent master's degree (or equivalent) in computer science, with demonstrated background in at least one of the following areas: Machine Learning, Artificial Intelligence, Human Computer Interaction, Statistics, Software Testing. The candidate should demonstrate interest in conducting research at the intersection of these areas.

  • Demonstrated interest in responsible computing

  • Strong programming skills, preferably in Python

  • Good communication and presentation skills in English

  • Ability to work in a team

  • Commitment to research

  • Willingness to interact with stakeholders and work in production environments (50% of the time will be spent at TU Delft, 50% at ING offices)

Conditions of employment

TU Delft offers PhD-candidates a 4-year contract, with an official go/no go progress assessment after one year. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2395 per month in the first year to € 3061 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

TU Delft (Delft University of Technology)

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context. At TU Delft we embrace diversity and aim to be as inclusive as possible (see our Code of Conduct). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Challenge. Change. Impact!

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 employees and 4,000 students work and study in this innovative environment.

Additional information

For more information about this vacancy, please contact: Dr. C.C.S. Liem, Assistant Professor, email: c.c.s.liem@tudelft.nl. tel: + 31 (0) 15 27 82188.

Application procedure

Please apply via the application button before: January 31, 2021

A pre-employment screening can be part of the application procedure.

De fascinatie voor science, design en engineering is wat ruim 13000 bachelor & masterstudenten en 5000 medewerkers van de TU Delft drijft. De Technische Universiteit Delft is niet alleen de oudste, maar ook de grootste technische universiteit van Nederland: een universiteit die continu op zoek is naar jou als (inter)nationaal talent om het onderzoek en onderwijs van deze unieke instelling…


De fascinatie voor science, design en engineering is wat ruim 13000 bachelor & masterstudenten en 5000 medewerkers van de TU Delft drijft. De Technische Universiteit Delft is niet alleen de oudste, maar ook de grootste technische universiteit van Nederland: een universiteit die continu op zoek is naar jou als (inter)nationaal talent om het onderzoek en onderwijs van deze unieke instelling op topniveau te houden. Met ongeveer 5.000 medewerkers is de Technische Universiteit Delft de grootste werkgever in Delft. De acht faculteiten, de unieke laboratoria, onderzoeksinstituten, onderzoeksscholen en de ondersteunende universiteitsdienst bieden de meest uiteenlopende functies en werkplekken aan. De diversiteit bij de TU Delft biedt voor iedereen mogelijkheden. Van Hoogleraar tot Promovendus. Van Beleidsmedewerker tot ICT'er.

Engineering
Delft
5,000 employees