The Department of Computer Science at Technische Universität Darmstadt invites
applications for two positions as
Research Assistant (Ph.D. Researcher) (all genders) for Computer
Vision & Deep Learning
in the newly founded data-Efficient Video Analysis (EVA) group, led by Dr.
Simone Schaub-Meyer. The planned starting date is 01.04.2022. The initial
funding duration for each of the positions is for three years.
The positions are being opened within the context of the cluster project “The
Third Wave of Artificial Intelligence (3AI)” of hessian.AI
(https: // hessian.ai/), in cooperation with the Visual Inference Lab
(www. visinf.tu-darmstadt.de), led by Prof. Stefan Roth, Ph.D.
The data-Efficient Video Analysis (EVA) group is researching novel AI
methods for visual data with a focus on developing efficient, robust and
controllable methods and algorithms that can learn from less labels by
exploiting low-level perception and high-level reasoning. EVA has been created
as a DEPTH research group within the HMWK-funded cluster project "The Third
Wave of Artificial Intelligence (3AI)". The cluster project is embedded into
hessian.AI, the Hessian Centre for Artificial Intelligence, with its mission
to “understand the interplay of AI algorithms, AI systems, and synergies
between artificial and natural intelligence to provide the foundation for AI
transformation”. The group will have access to a capture laboratory and state-
of-the-art GPU facilities, including Nvidia DGX machines and the powerful
Lichtenberg cluster, enabling outstanding research.
Outstanding Masters degree (or equivalent) at a leading university in
computer science, (applied) mathematics, electrical engineering, physics
or a related discipline.
Advanced knowledge of computer vision and/or machine learning is
beneficial. More important, however, are outstanding mathematical and
analytical skills, as well as programming experience.
High intrinsic motivation, reliability, creativity, as well as the ability
to discuss, formulate, and present scientific results in English.
Significant potential for outstanding, independent research on challenging
scientific problems as well as the ability for teamwork.
Candidates are expected to contribute to the research, teaching, and
administrative tasks of the group.
Opportunity for further qualification (doctoral dissertation) is given. The
fulfillment of the duties likewise enables the scientific qualifications of
The Technische Universität Darmstadt intends to increase the number of female
employees and encourages female candidates to apply. In case of equal
qualifications applicants with a degree of disability of at least 50 or equal
will be given preference. Wages and salaries are according to the collective
agreements on salary scales, which apply to the Technische Universität
Darmstadt (TV-TU Darmstadt). Part-time employment is generally possible.
Your application should contain a cover letter, curriculum vitae, as well as
diplomas and transcripts (Master, Bachelor, as well as high school). Your
cover letter should discuss your motivation and qualification for the
position. Please ensure to include your date of availability for starting the
Ph.D. position. Moreover, please name at least two references, who would be
willing to supply letters of recommendation. Please send electronic
applications (in the form of a single PDF), referencing the code no., to Dr.
Simone Schaub-Meyer. (email: firstname.lastname@example.org).
By submitting your application, you agree that your data may be stored and
processed for the purpose of filling the vacancy. You can find our privacy
policy on our webpage.
Code No. 28
January 10, 2022
February 20, 2022