Connectionists: [jobs] Doctoral Researcher - Transparent Interpretable Neural Robots
Stefan Wermter
stefan.wermter at uni-hamburg.de
Fri Jul 14 13:17:02 EDT 2023
At the University of Hamburg, Dept of Informatics, Knowledge Technology,
we are looking for 1 additional Doctoral Candidate Researcher (PhD
students) in neural network technology, intelligent robotics and
transparency/explainability in artificial intelligence.
Project: TRAIL: TRAnsparent InterpretabLe robots (Doctoral Network, EU
MSCA Project)
Start date: 1.10. 2023 or as soon as possible, for 3 years
Salary level: salary in accordance with the attractive EU MSCA Doctoral
Network regulations for doctoral candidates
Application deadline: 26 July 2023
The Doctoral Network TRAIL consists of 15 institutions including
universities, research institutions and industry partners. The research
area of TRAIL is neural network technology, intelligent robotics and
transparency in artificial intelligence and is coordinated by
Universität Hamburg. The focus of the research at Universität Hamburg is
on neural networks and explainability for interactive social robotics.
The position will be filled in the context of transparency and
interpretation of neural networks for interactive cognitive robots. The
researcher will focus on the following indicative topics: Interpretable
representations in deep learning architectures or automated
interpretation of neural mappings for cognitive robotics.
The successful candidate will receive an attractive salary in accordance
with the MSCA regulations for Early-Stage Researchers. The exact (net)
salary will be confirmed upon appointment and is dependent on local tax
regulations and on the country correction factor (to allow for the
difference in cost of living in different EU Member States). The salary
includes a living allowance, a mobility allowance and a family allowance
(if applicable). Furthermore, TRAIL will offer to take advantage of
joint scientific research trainings, transferable skills workshops, and
international conferences. For more information about the project and
consortium see
https://www.inf.uni-hamburg.de/en/inst/ab/wtm/research/trail.html
Requirements:
MSc or demonstrated equivalent in Artificial Intelligence, Computer
Science or Engineering with a focus on Intelligent Systems, Intelligent
Robotics or Neural Networks is required. Excellent programming skills
(Python, C++, PyTorch, Machine Learning Frameworks, ROS etc.) are needed
and expertise in at least one of neural networks or intelligent robotics
is needed. Publications are a desired advantage. The posts involve
substantial traveling within Europe. Each PhD student will be expected
to spend secondments at other partner sites and travel to international
conferences. According to EU mobility rules, the doctoral researcher
must not have resided or carried out their main activity (work, studies,
etc.) in Germany for longer than 12 months in the 3 years immediately
prior to their recruitment. Applicants who already have a doctoral
degree are NOT eligible and should NOT apply. Excellent English
communication skills are an important requirement.
Application:
Upload your complete application documents (cover letter, curriculum
vitae with details about where you resided or carried out your main
activity [work, studies, etc.] in the three years immediately prior to
the application deadline, copies of degree certificate[s], names and
email contacts for two referees who would be willing to write a letter
of support for your application, any English language certificates) via
the online application form only.
For more details on how to apply please go to:
https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=e66be09393962951c113a5d0ef89eba57fb6c6cd
***********************************************
Professor Dr. Stefan Wermter
Director of Knowledge Technology
Department of Informatics
University of Hamburg
Vogt-Koelln-Str. 30
22527 Hamburg, Germany
Email: stefan dot wermter AT uni-hamburg.de
https://www.informatik.uni-hamburg.de/WTM/
https://www.informatik.uni-hamburg.de/~wermter/
***********************************************
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