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Research Associate / PhD Student (m/f/x)
Technische Universität Dresden
Dresden, Saxony
Remote Work (optional)
Python
Machine Learning
R
data analysis
data processing
research
TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany.
The Center Synergy of Systems (SynoSys) develops transdisciplinary approaches and methods in the fields of network science, data science and citizen science in order to conduct integrative research on complex phenomena at the interfaces between biomedicine, social sciences and life sciences. SynoSys contributes to the emergence of a scientific vision for healthy human development in which physical and mental health are collectively considered in an increasingly digital and networked social and physical environment. SynoSys is part of the Center for Interdisciplinary Digital Sciences (CIDS), a node in the network of transdisciplinary research on digitalization and a crystallization point for innovation and collaboration with a focus on complex systems science.
For TUD 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 Center Synergy of Systems (SynoSys) offers a position as
starting at the earliest possible date with 90% of the fulltime weekly hours and the possibility of increasing to 100% (subject to release of funds) The position is limited until December 31, 2028. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD).
The Center Synergy of Systems (SynoSys) develops transdisciplinary approaches and methods in the fields of network science, data science and citizen science in order to conduct integrative research on complex phenomena at the interfaces between biomedicine, social sciences and life sciences. SynoSys contributes to the emergence of a scientific vision for healthy human development in which physical and mental health are collectively considered in an increasingly digital and networked social and physical environment. SynoSys is part of the Center for Interdisciplinary Digital Sciences (CIDS), a node in the network of transdisciplinary research on digitalization and a crystallization point for innovation and collaboration with a focus on complex systems science.
For TUD 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 Center Synergy of Systems (SynoSys) offers a position as
Research Associate / PhD Student (m/f/x)
(subject to personal qualification employees are remunerated salary group up to E 13 TV-L)
(subject to personal qualification employees are remunerated salary group up to E 13 TV-L)
starting at the earliest possible date with 90% of the fulltime weekly hours and the possibility of increasing to 100% (subject to release of funds) The position is limited until December 31, 2028. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD).
Research Associate / PhD Student (m/f/x)
Activities and responsibilities
scientific research activities with the general research topic of Post Covid Conditions and a strong interest in analyzing, and integrating large-scale, high-resolution, long-term, individual-based data collected on wearable devices, and survey datasets, as well as modelling to develop, and implement algorithms for identifying complex patterns and phenotypes using machine learning. Furthermore: writing of scientific publications in the relevant Journals; conducting detailed literature searches; participation in professional conferences and presentation of the research work and its projects; support of the center for applications for third-party funding.
Qualification profile
- university degree in Mathematics, Physics or Computer Sciences, Data Science or equivalent
- strong interest in working in a research environment at the interface of computer science, and social sciences as well as data science applications
- proficiency in a programming language, like Python or R
- experience with machine learning techniques
- ability to work in a collaborative interdisciplinary environment
- interest in complex systems science and exploratory, high-risk research
- good command of spoken and written English
- ideally experience with time series data processing and dimensionality reduction techniques
We offer
a unique opportunity to do frontier research in a truly transdisciplinary environment with a high-level exposure to various topics
- the opportunity for personal qualification in a dynamic and international research environment with a high degree of creative freedom
- an interesting and responsible position where you will get to know the diverse tasks and developments in the research field and specific area of expertise
- flexible working hours and home office arrangements
- diverse offerings for health promotion and work-life balance, for example, through our family office or our health management program
- numerous opportunities for further education, including language courses, IT training, and seminars for professional development
- possibility to participate in the wide range of activities offered by the university sports program
- 30 days of paid annual leave and a year-end bonus payment; additional pension provision (VBL)
TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university and offers a Dual Career Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.
Please submit applications containing all documents. The documents must be in English and contain:
- a letter of motivation for the application (cover letter);
- curriculum vitae, if applicable a list of publications;
- degree certificate;
- names and contact details of one reference that we can contact.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis.
Full-Time
, Temporary
PhD Project
Updated at
01/09/2025
While applying for the job please refer to jobvector
Workplace
Job location
Helmholtzstr. 10
01069 Dresden
Saxony
Germany
Remote Work (optional)
Good to reach from...
- Freiberg
- Bautzen
- Pirna
- Freital
- Radebeul
- Senftenberg, Niederlausitz
Salary
The value indicated here represents the monthly gross salary provided by the company for this position. Please note that the actual salary may vary depending on qualifications and experience.
4,388 € 
6,237 €
6,237 €About Technische Universität Dresden
Die TU Dresden gehört zum Kreis der elf deutschen Exzellenz-Universitäten, die seit 1. November 2019 eine Förderung im Rahmen der Exzellenzstrategie des Bundes und der Länder erhalten.
Die strukturelle Gliederung umfasst fünf Bereiche mit 18 Fakultäten:
Mathematik und Naturwissenschaften
Geistes- und Sozialwissenschaften
Ingenieurwissenschaften
Bau und Umwelt
Medizin
More about Technische Universität Dresden