PhD Student Data Science (m/f/d)

The Research Training Group GRK 2868 D³ - Data-driven Design of Resilient Metamaterials funded by the German Research Foundation has started in October 2023. Our vision is to develop and apply a data-driven approach to cross-scale materials discovery and design, in particular, goal-oriented, inverse design procedures based on process-structure-property linkages are of interest. The exploration aims at the mechanical performance as well as at the sustainability of the new metamaterials. D³ offers a competence- and publication-oriented qualification concept with co-supervision and international mentoring following a stringent schedule. D³ will provide a creative, motivating, and collaborative research environment with equal opportunities. Academic and business careers are actively supported by career development measures including at least one international research stay. For TUD Dresden University of Technology diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.

The Research Training Group GRK 2868 D³ offers several positions as

Research Associate / PhD student (m/f/x) (subject to personal qualification, employees are remunerated according to salary group E 13 TV-L)

starting October 1, 2026. The individual positions are limited until March 31, 2030. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The positions offer the chance to obtain further academic qualification (usually PhD).

Aufgaben The successful candidates perform scientific research in one of 9 PhD projects and participate actively in the qualification program and general scientific activities of D³. Please select a maximum of two projects that you want to apply for and specify them explicitly in the submitted documents. Brief descriptions of the interdisciplinary projects are available via www.tud.de/ing/dcube.Qualifikationsprofil • excellent university degree in mechanical/civil engineering, materials science and engineering, data or computer science, mathematics or physics • fluent in English, ideally documented in terms of a B2 English language certificate