[jobs] Doctoral Network Researchers - Transparent Interpretable Neural Robots
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=6cdcc9a7...
*********************************************** 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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Stefan Wermter