OpenFieldTU Dortmund Research School Excellence Doctoral Fellowship
Prestigious doctoral fellowship supporting talented international researchers in machine learning, biochemical engineering, or mathematical statistics at the TU Dortmund Graduate Center.
TU Dortmund University: Chemical Engineering, Computer Science & Statistics Portal
TU Dortmund University (Technische Universität Dortmund), founded in 1968 in Germany's Ruhr industrial heartland, is a leading technical research university celebrated for having Europe's premier Faculty of Statistics, world-class Biochemical and Chemical Engineering (BCI), and foundational computer science research.
Verified degree programs and opportunities
Review checked academic pathways and funding options below:
Master of Science in Data Science & Statistical Machine Learning
Unique interdisciplinary English-taught Master of Science offered jointly by the Faculties of Statistics, Computer Science, and Mathematics, exploring high-dimensional statistics, deep learning, and big data systems.
Salaried Doctoral Researcher (TV-L E13) in Bioprocess Engineering & Continuous Crystallization
Three-year funded doctoral position at the Department of Biochemical and Chemical Engineering (BCI) developing continuous microfluidic crystallization and downstream purification for biological therapeutics.
Collaborative Research Centre (SFB 876) Resource-Constrained Data Analysis Project
Flagship DFG collaborative research center developing real-time machine learning algorithms optimized for low-power edge devices, embedded FPGA sensors, and ultra-fast cyber-physical networks.
Bayer / Evonik Ruhr Chemical Park Curricular Industrial Engineering Practicum
Six-month full-time engineering internship situated at major chemical manufacturing parks in the Ruhr region (Evonik Marl, Bayer Bergkamen), optimizing reaction kinetics and distillation columns.
Lamarr Institute for Machine Learning and AI Postdoctoral Fellowship
Two-year postdoctoral fellowship at the prestigious Lamarr Institute in Dortmund exploring foundational trustworthy AI, neuro-symbolic reasoning, and algorithmic fairness.
W3 Professorship in Industrial Robotics & Cyber-Physical Production Systems
Tenured full professorship in the Department of Mechanical Engineering, directing research in human-robot collaboration, autonomous production cells, and digital manufacturing.
Admissions, language requirements & application process
- Master's admission eligibility
- Accredited Bachelor of Science in Engineering, Computer Science, Statistics, or Natural Sciences with minimum 180 ECTS credits and strong mathematical grounding.
- Doctoral admission eligibility
- Master's degree (M.Sc., Diplom) with above-average grade (mindestens 'gut') in engineering, computer science, mathematics, or physics.
- Language proficiency
- English programs: TOEFL iBT 90 or IELTS 6.5. German programs: DSH-2 or TestDaF 4x4.
- Research statement / Proposal
- Doctoral candidates submit a research plan aligned with a university chair; Masters applicants submit detailed transcript module guide.
- Application fee
- €75 evaluation fee via uni-assist for international applicants with non-German degrees.
- Required documentation
- Bachelor's diploma, academic transcript of records, module descriptions, curriculum vitae, and language proficiency certificate.
Tuition fees and verified scholarship systems
Zero tuition fees for domestic and international students. All enrolled students pay only the social semester contribution (Semesterbeitrag) of approximately €340 per semester, which covers student union services and provides a regional public transit pass (NRW-Ticket).
Verified faculty profiles and research leaders
Distinguished researchers and laboratory heads at TU Dortmund University:
Prof. Dr. Katharina Morik
Professor of Artificial Intelligence & Founding Co-Director of Lamarr Institute · Machine Learning, Resource-Constrained Data Analysis, Astroparticle Physics AI, Data Mining
Prof. Dr.-Ing. Gerhard Schembecker
Head of Laboratory of Plant and Process Design & Dean of BCI · Process Intensification, Downstream Processing, Continuous Crystallization, Process Synthesis
Prof. Dr. Katja Ickstadt
Professor of Mathematical Statistics with Applications in Biometry · Biostatistics, High-Dimensional Data, Bayesian Statistics, Bioinformatics
Important verification note
Facts reflect official TU Dortmund University documentation reviewed 2026-10-15. Degree admissions, scholarship awards, and employment positions are subject to formal university review. OpenField does not charge students application fees.
Reviewed 2026-10-15 · Editorial standards · Report an issue