Description
TU Darmstadt is an autonomous university with broad research excellence, an
interdisciplinary profile, and a clear focus on engineering as well as
information and communication technology. It is one of Europe's leading AI
hotspots (see csrankings.org) and a unit in the European Laboratory for
Learning and Intelligent Systems (ELLIS, ellis.eu). The Department of
Computer Science is one of the most visible departments of TU Darmstadt and
regularly ranks among the best CS departments in Germany.
The Visual Inference Lab (led by Prof. Stefan Roth, Ph.D.) at the Department
of Computer Science of TU Darmstadt is offering a position starting 01.08.2022
as
Research Assistant/Doctoral Researcher (all genders) – Adaptive Deep
Visual Learning
in the cluster project “The Adaptive Mind”. The position is initially limited
until 31 March 2025. The option of an extension of the contract is generally
given.
The state of Hesse is funding the cluster project “The Adaptive Mind” (TAM,
www. theadaptivemind.de), in which the universities of Gießen, Marburg, and
Darmstadt as partner locations, together with the University of Frankfurt and
the Frankfurt Institute for Advanced Studies (FIAS) as participating
institutions, are pursuing the goal of advancing research in the field of
Mind, Brain, and Behaviour in an interdisciplinary manner. The goal of “The
Adaptive Mind” is to empirically observe, quantify, and use mathematical
models to describe the continuous adaptation of human behaviour in a
constantly changing and often unpredictable world.
The tasks of the open doctoral researcher position include scientific services
in research and teaching at the intersection of computer vision, machine
learning, and cognitive science, specifically related to the implementation of
the TAM cluster project. Of particular interest are adaptation mechanisms for
deep neural networks that capture object shape, recognize materials, and/or
semantically analyze visual scenes. The tasks further include active
collaboration with other research groups within “The Adaptive Mind” as well as
a direct contribution to the scientific goals of TAM. Our open and
internationally oriented team has access to state-of-the-art GPU facilities,
including nvidia DGX machines, enabling outstanding research.
Your profile
Outstanding Masters degree (or equivalent) at a leading university in
computer science, cognitive science, (applied) mathematics, electrical
engineering, physics, or a related discipline
Advanced knowledge of computer vision, machine learning, and/or cognitive
science 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
Opportunity for further qualification (doctoral dissertation) is given. The
fulfillment of the duties likewise enables the scientific qualifications of
the candidate.
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, and high school). Your cover
letter should discuss your motivation and qualifications for the 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 Prof. Stefan Roth, Ph.D.
(email: info@visinf.tu-darmstadt.de).
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. 413
Published on
June 21, 2022
Application deadline
July 05, 2022
