Jobid=65a7323d902d (0.0143)
ph3Job Description /h3 pPostdoctoral Researcher in AI for Tabular and Temporal Data /p pWe 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. /p pCandidates 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. /p pExperience with EU projects or AI methods for quantum hardware calibration is considered an advantage, but is not required. /p h3Responsibilities /h3 p• 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. /p h3Qualifications /h3 ul liDoctoral degree in Computer Science, Mathematics, or related field. /li liStrong team player with leadership qualities. /li liExpertise in machine learning and strong implementation skills. /li liExperience or interest in EU projects or AI methods for quantum hardware calibration is an advantage. /li /ul h3Conditions of Employment /h3 ul liDuration of contract: 1 year (temporary). /li liWorkload: 38–40 hours per week. /li liSalary and benefits in accordance with the Collective Labour Agreement for Dutch Universities. /li liExcellent pension scheme via the ABP. /li liPossibility to compile an individual employment package each year. /li liDiscount with health insurers on supplemental packages. /li liFlexible working week. /li li232 leave hours per year (at 38 hours). Option to buy or sell additional leave hours through an individual choice budget. /li liPlenty of opportunities for education, training and courses. /li liPartially paid parental leave. /li liHealth‑support initiatives with the vitality program. /li /ul h3Additional Information /h3 pIf you would like more information about this vacancy or the selection procedure, please contact Rihan Hai at /p h3Application Procedure /h3 pAre you interested in this vacancy? Please apply no later than 19 June 2026 via the application button and upload the following documents: /p ul liCV /li liMotivational letter /li /ul pYou can address your application to Rihan Hai. Applications must be submitted online; we will not process applications sent by email or post. /p pAs 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. /p /p #J-18808-Ljbffr
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