Job Description

Postdoctoral Researcher in AI for Tabular and Temporal Data

We invite applications for a postdoctoral position in machine learning and deep learning, with particular interest in tabular data, time‑series modeling, and transfer learning. The researcher will contribute to the development of innovative data‑driven methods for complex real‑world problems, working at the intersection of methodological advances and applied research. The role includes conducting high‑quality research, publishing in top venues, collaborating with interdisciplinary partners, and supporting student supervision.

Candidates should have a PhD in Computer Science, Machine Learning, Data Science, Statistics, or a closely related discipline, along with demonstrated expertise in machine learning and strong implementation skills.

Experience with EU projects or AI methods for quantum hardware calibration is considered an advantage, but is not required.

Responsibilities

• Conduct high‑quality research in machine‑learning methods for tabular and temporal data. • Publish results in leading conferences and journals. • Collaborate with interdisciplinary partners and contribute to joint projects. • Support supervision and mentoring of graduate students and research assistants.

Qualifications

• Doctoral degree in Computer Science, Mathematics, or related field.
• Strong team player with leadership qualities.
• Expertise in machine learning and strong implementation skills.
• Experience or interest in EU projects or AI methods for quantum hardware calibration is an advantage.

Conditions of Employment

• Duration of contract: 1 year (temporary).
• Workload: 38–40 hours per week.
• Salary and benefits in accordance with the Collective Labour Agreement for Dutch Universities.
• Excellent pension scheme via the ABP.
• Possibility to compile an individual employment package each year.
• Discount with health insurers on supplemental packages.
• Flexible working week.
• 232 leave hours per year (at 38 hours). Option to buy or sell additional leave hours through an individual choice budget.
• Plenty of opportunities for education, training and courses.
• Partially paid parental leave.
• Health‑support initiatives with the vitality program.

Additional Information

If you would like more information about this vacancy or the selection procedure, please contact Rihan Hai at [email protected].

Application Procedure

Are you interested in this vacancy? Please apply no later than 19 June 2026 via the application button and upload the following documents:

• CV
• Motivational letter

You can address your application to Rihan Hai. Applications must be submitted online; we will not process applications sent by email or post.

As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. The assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. For more information about the assessment, please refer to the university’s knowledge‑security website.

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