Doctoral Candidate (DC) / PhD Position (m/f/x) Micromanufacturing Technology
Sächsische Staatskanzlei
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- 23. August 2026
Geschätztes Gehalt (TVöD)
3.566 – 5.484 €
Entgeltgruppe E9b-E11 · brutto/Monat
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Stellenbeschreibung
Doctoral Candidate (DC) / PhD Position (m/f/x) Micromanufacturing Technology
Freistaat Sachsen Sächsische Staatskanzlei
09111 Chemnitz
VollzeitChemnitz
Die ID wurde in die Zwischenablage kopiert
Doctoral Candidate (DC) / PhD Position (m/f/x) Micromanufacturing Technology
Freistaat Sachsen Sächsische Staatskanzlei
Stellenanzeige
Doctoral Candidate (DC) / PhD Position (m/f/x) Micromanufacturing Technology
Stelleninformationen
Universitäten
Qualifikationsebene: Master, Diplom (Universität), Magister, Staatsexamen und vergleichbar
Dienstort: Chemnitz
Anstellungsverhältnis: befristet
Bewerbungsfrist: 15.09.2026
Bewerbungsadresse
The Chemnitz University of Technology is an established innovative scientific and educational institution, which takes on the challenges connected with the competition between the universities. The Chemnitz University of Technology offers attractive employment for personalities with proven scientific excellence who want to contribute to the further innovative development.
Subject to the availability of funds, starting at 01.10.2026 (earliest, but is negotiable), the Faculty of Mechanical Engineering, Professorship Micromanufacturing Technology, offers an employment for a
Doctoral Candidate (DC) / PhD Position (m/f/x)
(100 %, salary plus allowances package according to the Marie Skłodowska-Curie Actions (MSCA) – Doctoral Networks rules)
for a period of 3 years. Selection is based on suitability, qualification and professional performance. Chemnitz University of Technology aims to support women in particular and therefore expressly asks qualified women to apply. In the case of equal suitability, severely disabled persons or persons of equal status will be given priority in accordance with SGB IX.
The above position is one of 15 doctoral candidate positions of the MicroMan4Health doctoral network ( The described open position has the topic “Laser Beam Micromachining for Point-of-Care Diagnostic Moulds” and is supervised by Prof. Dr. Andreas Schubert.
This network focuses on developing data-centric micromanufacturing technologies for next-generation healthcare and MedTech applications. The project offers the possibility to pursue the PhD within the network at different universities and research institutes from 7 European countries (Belgium, Denmark, Italy, Germany, Slovenia, United Kingdom, Spain) and in the United States of America, including secondments to numerous industrial companies. Background information on all DC positions is available on .
MicroMan4Health is funded by the European Unions Horizon Europe research and innovation programme under Grant Agreement No. 101312169.
Working tasks:
The PhD-project DC10 focuses on laser-beam micromachining for manufacturing of moulds for bio-analytical devices. The aim is to optimize scanning strategies towards series production of point-of-care (POC) diagnostic parts through…
developing advanced laser-beam machining strategies to fabricate moulds for forming of micro-fluidic features in POC diagnostic devices,
building a software-supported framework to predict and optimize laser-material interactions, energy transfer, and resulting micro-scaled features during drilling and shaping, and
modelling of beam-surface interactions, analysis of spatial energy distributions, and determination of impacts of pulse characteristics on accuracy and surface quality.
Expected outcomes include reliable ablation datasets, validated laser-scanning optimisation strategies, and a robust process-design methodology for producing high-quality POC moulds. Secondments to industry and university partners support validation of ablation strategies and characterization of machining outcomes, and round-robin tests validate models and assess process robustness under real manufacturing conditions. Key objectives are the development of a software tool for process design and laser-scanning strategies, the integration of simulation and experimental pulse-signal data to characterize lateral energy distribution, and the prediction of material removal results from laser pulse characteristics as well as optimizing scanning parameters for producing POC moulds.
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