Connectionists: [jobs] Doctoral Network Researchers - Transparent Interpretable Neural Robots

[Stefan Wermter]

At the University of Hamburg, Dept of Informatics, Knowledge Technology, 
we are looking for applications for 2 Doctoral Candidate Researchers 
(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 March 2023 or later as agreed, for 3 years
Salary level: salary in accordance with the attractive EU MSCA Doctoral 
Network regulations for doctoral candidates
Application deadline: 31 January 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. 
There are two Doctoral Candidate research positions at Universität 
Hamburg which will be filled in the context of transparency and 
interpretation of neural networks for interactive cognitive robots. The 
researchers will focus on the following topics:

Researcher 1: Interpretable latent representations in deep learning 
architectures
Researcher 2: Automated interpretation of neural class activation mapping

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 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 for 
these positions. 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 researchers 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. 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=6cdcc9a72e39e9343ed64dd562fa2ea6c4647574

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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/
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