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 (earliest, but is negotiable), the Faculty of Mechanical Engineering, Professorship Micromanufacturing Technology, offers an employment for a
(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 “EDM Machining-State Analysis from Discharge Signal Data” 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 Union's Horizon Europe research and innovation programme under Grant Agreement No. .
Working tasks:
The PhD-project DC14 focuses on the development of an assisting tool for electrical discharge machining (EDM) to gain deeper knowledge on machining states and deposition characteristics from discharge signal data. The aim is to reduce process development iterations for EDM shaping with concurrent functionalization of surfaces by deposition of elements from electrode materials to realize antibacterial effects through…
The project integrates antibacterial coating strategies to predict coating efficacy and long-term surface performance through intelligent data analytics. The work will deliver validated methods applicable to machining medical implants and new tool–workpiece material combinations. Secondments to industry and university partners support industrial validation, verification of process-detection concepts, and round‑robin testing of the developed data‑analysis framework. Key objectives are the development of an algorithm to analyse discharge signals, building a secure dataset for new tool–workpiece material combinations enabling process‑integrated antibacterial coatings, derivation of data‑based strategies to reduce experimental iterations, ensure shape accuracy and assess removal and wear rates for medical‑implant machining, and validation of the approach and antibacterial effects in vitro.
The doctoral candidate will enrol in the doctoral student programme at Chemnitz University of Technology.
You will use your research results for scientific publications and your own qualification. This is a position for further scientific qualification.
If you want to join our interdisciplinary and highly motivated team in academically exploring a topic of high practical relevance, you should bring along the following qualifications and traits:
Eligibility conditions according to the MSCA eligibility criteria:
Background material (host institution and research group):
The relevant information on the collection and processing of personal data can be found at
#J-18808-LjbffrVeröffentlichungsdatum:
30 Jul 2026Standort:
ChemnitzEinsatzort:
Adorf, Chemnitzer Straße 18, 09217 Chemnitz, GermanyTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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