JOB DESCRIPTION

In your research you will build on and expand your knowledge of modelling- and solving paradigms like Boolean Satisfiability, Constraint Programming, Mixed-Integer (Linear) Programming. Additionally you will work on methods for reasoning about discrete probability distributions, sampling from complex spaces, and statistical analysis methods.
While doing so, you will collaborate with other researchers and software engineers to build usable tools for both the scientific community and societal stakeholders. You will communicate your research findings by publishing in and presenting at top-tier academic conferences and journals. This provides excellent opportunities for building an international network of experienced researchers and experts.
Work environment
You will work in the Algorithmics section at the Software Technology (ST) department and collaborate with the Statistic section of the Delft Institute of Applied Mathematics (DIAM). In the Algorithmics section you will become part of a dynamic and diverse environment of PhD and postdoc researchers excited about making theoretical and algorithmic contributions in intelligent decision making. We aim to deal with the scalability challenge inherent in many such applications, to understand how to learn models that are useful for upstream planning, scheduling, and verification tasks, and how to deal with their uncertainty. Further, we aim to understand how to effectively incorporate behaviour and preferences of stakeholders into the algorithmic decision-making process.
TU Delft hosts a vibrant interdisciplinary community, facilitated through cross-faculty institutes and seminar series addressing a range of societal problems, including climate change, the energy transition, and artificial intelligence. As a PhD candidate, you will collaborate with experienced researchers, attend conferences, and experience an international research environment. The position will focus on research, with optional contributions to education and supervision of bachelor and master students.

Why join us?

• Innovative research: Work on cutting-edge modelling and solving techniques that address decision-making challenges.
• Collaborative environment: Engage with multiple work packages and different experts in the field.
• Impactful work: Apply your results to pressing challenges in engineering and policy making.

JOB REQUIREMENTS

Required (by the Graduate School of TU Delft):

• Master’s degree in Computer Science, Operations Research, or a related field.
• Proficiency in the English language (https://www.tudelft.nl/onderwijs/opleidingen/phd/admission)

Optional requirements:

• Demonstrable knowledge of reasoning paradigms like Boolean Satisfiability, Constraint Programming or Mixed Integer (Linear) Programming.
• Programming skills in languages such as Java, Python or C++.
• Solid understanding of statistics and probability theory, in particular hypothesis testing.
• Excellent critical and analytical thinking skills.
• A proven record and interest in further developing your research skills, such as a critical attitude, self-organisation and academic writing.
• A strong affinity with and enthusiasm for state-of-the-art, algorithmic and optimisation techniques, and in applying these to support decision-making.
• An affinity with teaching and guiding students.
• The ability to work in a team and take initiative.

Please refer the Job description for details