Research Associate
vor 3 Wochen
As part of the German government's artificial intelligence (AI) strategy, the successful Saxon
competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial
Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial
Intelligence (AI). 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.
At the **Center for Interdisciplinary Digital Sciences (CIDS), **the** Center for Scalable Data Analytics**
**and Artificial Intelligence (ScaDS.AI Dresden) **offers two positions as
**Research Associate / PhD Student **(M/F/x)
starting at the **earliest possible date.** The position is limited to three years. The period of
- employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz- WissZeitVG). The position aims at obtaining further academic qualification (usually PhD).
**Professional assignment**: Chair of Data Science (Prof. Dr. Jakob Runge)
**Research area**: Causal Inference, Statistics, Machine Learning, Time Series Analysis, Dynamical
Systems
**Tasks**:
- scientific research in at least one of the following areas of Causal Inference: Theoretical
Foundations, Statistical Estimation Methods and Deep Learning, Scalable Implementation,
Time Series Analysis, Dynamical Systems
- collaboration in national and international research projects, possibly with industry partners
- scientific teaching tasks (e. g. seminars; no regular teaching duties)
- presentation of research results and prototypes.
The position comes with access to high performance computing resources and access to training
opportunities within ScaDS.AI.***
**Requirements**:
- university degree (typically M.Sc.) in Mathematics, Theoretical Physics, Statistics, Theoretical
Computer Science, or a related field - PhD is desirable
- previous experience in Machine Learning, Causal Inference, Statistical Methods
- strong interest in foundational research
- very good written and spoken English skills
- willingness to travel.
- Excellent programming skills are desirable.
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
equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code
IX (SGB IX) will receive priority for employment.
references and certificates), quoting the **job number „ScaDS.AI Runge1”,** by **June 5, 2024** (stamped
to**:TU Dresden, ScaDS.AI, Herrn Prof. Dr. Wolfgang E. Nagel, Helmholtzstr. 10, 01069 Dresden,**
returned to you. Expenses incurred in attending interviews cannot be reimbursed.
**Reference to data protection**: Your data protection rights, the purpose for which your data will be processed,
- dresden.de/karriere/datenschutzhinweis.
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