Open PhD & PostDoc Positions

PhD / PostDoc Positions

We are currently looking for several highly-motivated PhD students or PostDocs in the area of computer vision and/or machine learning.

PhD position (state funded)

We currently have an open state-funded PhD position in the area of computer vision & deep learning. Please refer to the position announcement for further detail.

Further information: Position announcement

Application deadline: Oct 31, 2019

PhD position (LOEWE Center emergenCITY)

We currently have an open PhD position in the LOEWE Center emergenCITY, an interdisciplinary research center concerned with building resilient digital cities.

The position is specifically concerned with developing semantic scene analysis techniques that can cope with very heterogeneous imagery as it arises in crisis scenarios.

The position forms part of research project INF 1 (Resilience-centred multimodal data analysis on multiple time scales), whose focus lies on developing intelligent data analysis methods for heterogenous data streams that enable the extraction of valuable information, e.g. about crisis situations. One example for this are unstructured data from social media (such as tweets with text and images) from which a semantic analysis shall yield a detailed picture of the current situation. Another focal point of the research will be on a semantic analysis on multiple time scales such that both short-term crisis settings as well as long-term changes can be recognized and evaluated in order to make digital cities more resilient in the future.

Further information: Position announcement

Application website:

Application deadline: Oct 31, 2019


We are looking for PostDocs and PhD students with excellent analytical skills that are highly-motivated, curious, and creative. PostDoc applicants should demonstrate an internationally visible research record in computer vision and/or machine learning, with publications in the leading venues. PhD applicants should have a Master’s degree (or equivalent) in computer science, mathematics, or a closely related field with an outstanding academic record. A background in computer vision and/or machine learning is a plus, but more importantly solid mathematical and programming skills are required. Knowledge of German is not required, but strong English skills are expected.


The Visual Inference Lab was founded in 2007 and conducts research in several areas of computer vision with an emphasis on applying and developing statistical methods and machine learning approaches. We regularly publish in the premier vision conferences and journals; our work has received several awards, including paper prizes at ICCV and CVPR.

TU Darmstadt is one of the leading technical universities in Germany. Its Computer Science department consistently ranks among the top 5 in Germany. Moreover, TU Darmstadt is one of Europe's strongest research institutions in the area of artificial intelligence.

Darmstadt is a very livable medium-size city in the Rhein-Main metropolitan area very close to Frankfurt.


Please refer to the individual application instructions!

If nothing else is noted, interested applicants should send their application materials as PDF to . Applicants should describe their motivation for applying, and include a CV and all relevant transcripts with grades. PostDoc applicants should additionally include a publication list, 3 selected publications, and the names and contact information of at least three references. PhD applicants should additionally include name and contact information of at least two references (such as the Master’s thesis supervisor) and, if applicable/available, results from graduate tests and information on prior research experience.