TU Delft invites applications for a PhD Position in Autonomous Reasoning on Robots Operating in the Real Open World. This role involves advancing algorithms in knowledge representation, probabilistic and logic reasoning, and situational graph modelling.
To be eligible for this PhD position requires applicants to hold a master’s degree in fields such as Artificial Intelligence, Computer Science, Systems and Controls, Mechanical/Electrical Engineering, Applied Mathematics, or related areas. Candidates should have strong skills in world modelling, machine learning, probabilistic and logic reasoning, solid mathematics foundations, and programming experience (Python/C++ with ROS or Gazebo).
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Award
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Application Process
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Clarity of Information
User Review
( votes)Delft University of Technology (TU Delft) is the largest and oldest public technical university in the Netherlands, renowned worldwide for its excellence in engineering, science, and design. With a strong focus on innovation and sustainability, TU Delft combines cutting-edge research with high-quality education to address global challenges in areas such as energy, climate, mobility, health, and digital society.
Application Deadline: 28 September 2025
Brief Description
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University or Organization: Delft University of Technology (TU Delft)
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Department: Faculty of Mechanical Engineering
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Course Level: PhD Position
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Award: Salary starting at €3,059 per month, increasing to €3,881 in the fourth year
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Access Mode: Online application
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Number of Awards: 1
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Nationality: Open to all nationalities (subject to security clearance)
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The award can be taken in: The Netherlands
Eligibility
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Eligible Countries: All international and domestic applicants are welcome.
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Acceptable Course or Subjects: The PhD position is offered within the field of Autonomous Robotics, Artificial Intelligence, and Knowledge Representation at TU Delft.
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Admissible Criteria: To be eligible, applicants must meet the following criteria:
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Hold a Master’s degree in System and Controls, Artificial Intelligence, Computer Science, Mechanical/Electrical Engineering, Applied Mathematics, or related fields.
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Demonstrated experience in world modelling, machine learning, probabilistic reasoning, and logic reasoning.
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Strong mathematical foundation (statistics, linear algebra, discrete mathematics).
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Programming proficiency in Python/C++ and experience with robotics tools (ROS, Gazebo).
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Highly motivated, independent, and creative, with strong teamwork and communication skills.
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Proficiency in English (meeting TU Delft Graduate School admission requirements).
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Security clearance will be required due to collaboration with external partners (TNO and Royal Netherlands Marechaussee).
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How to Apply
Interested candidates must submit the following documents online before 28 September 2025:
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A motivation letter describing suitability for the project.
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Updated CV.
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Bachelor’s and Master’s transcripts.
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MSc thesis (or draft/publication/project report if unavailable).
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Email addresses of at least two references.
Applications must be submitted via the official TU Delft application portal (emails or postal submissions are not accepted).
Benefits
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A 4-year fully funded PhD contract (1.5 years initial contract + 2.5 years extension upon positive evaluation).
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Competitive salary starting at €3,059/month in the first year and increasing to €3,881/month in the fourth year.
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Enrollment in the TU Delft Graduate School, offering research training, transferable skills development, and mentorship.
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Opportunity to work in a multidisciplinary team at TU Delft, the University of Amsterdam, and external partners (TNO and Royal Netherlands Marechaussee).
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Access to advanced laboratory facilities and international collaborations.
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Support for international relocation through the Coming to Delft Service, including dual career support and social networking events.
