PhD / PostDoc Positions
We are always looking for highly-motivated PhD students or PostDocs in the area of computer vision and/or machine learning.
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 firstname.lastname@example.org-…. 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.