15 PhD Positions in EU Horizon 2020 MSCA-ITN project MoSaiQC: Modular Systems for advanced integrated Quantum Clocks
Ongeveer 11 uur geleden - Universiteit van Amsterdam (UvA) - Amsterdam
As systems become more complex and multidisciplinary, design of these systems also becomes more complicated. To assist design of such systems, physical models …
As systems become more complex and multidisciplinary, design of these systems also becomes more complicated. To assist design of such systems, physical models and computational tools are needed for their analysis and optimization. Our research focus is on the development of such advanced (computational) design techniques, combined with the understanding and design of innovative mechanical devices.
Supported by vast experience in structural optimization and modeling available in Precision and Microsystems Engineering (PME) with the mathematical optimization and machine learning expertise in the Delft Center for Systems and Control (DCSC), the candidate will fuse the worlds of artificial intelligence and structural optimization. To that end, the candidate will develop, conduct, and supervise research on AI-based optimization applied to structural systems (machine learning algorithms with novel regularization techniques for scarce training data, applied to problems in structural mechanics).
The tasks to be performed include:
The applicants must have the following qualifications:
In addition to the above qualifications, applicants should possess:
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
TU Delft creates equal opportunities and encourages women to apply.
For more information about this position, please contact Alejandro M. Aragón, Assistant Professor, email: firstname.lastname@example.org, tel. +31 (0)15 2782267 or Peyman Mohajerin Esfahani, Assistant Professor, Email: P.MohajerinEsfahani@tudelft.nl, Tel: +31 (0)15 27 87171. For information about the selection procedure, please contact Irina Bruckner, HR advisor, email: application-3mE@tudelft.nl.
Applications should include: a letter of motivation, a detailed CV including publication list, summary of academic record or research experience, abstract of PhD thesis (1 page), preferred starting date, proof of English language skills (if applicable), and names of three references. Please submit all these documents in one single pdf file (max. 6 MB) to Irina Bruckner, application-3mE@tudelft.nl.
When applying for this position, please refer to vacancy number 3mE19-72.
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