Jan 2023 Start - University of Hertfordshire UK - PhD Studentship in MACHINE LEARNING FOR (LANGUAGE-INVOLVING) HUMAN-ROBOT INTERACTION
| UH PhD ML 23 | |
|---|---|
| Type | Job |
| Categories (tags) | Uncategorized |
| Dates | 2022/09/08 - 2022/10/01 |
| Link | https://bit.ly/3KYEqrE |
| Address | |
| Geolocation | 51° 45' 6", -0° 14' 24" |
| Abstract due | |
| Submission deadline | 2022/10/01 |
| Final version due | |
| Notification date | |
| Tweet | University of Hertfordshire is accepting applications for a PhD Studentship in Language-involved Machine Learning. 01 Oct 22 Suggested Submission Visit https://bit.ly/3QsM4vQ for more info or to apply https://bit.ly/3KYEqrE #EMCA #EMCAIL |
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Jan 2023 Start - University of Hertfordshire UK - PhD Studentship in MACHINE LEARNING FOR (LANGUAGE-INVOLVING) HUMAN-ROBOT INTERACTION:
Details:
PhD studentship
MACHINE LEARNING FOR (LANGUAGE-INVOLVING) HUMAN-ROBOT INTERACTION
Adaptive Systems Research Group
Centre for Computer Science and Informatics Research
School of Physics, Engineering and Computer Science
University of Hertfordshire, UK
Contact: Frank Foerster (f.foerster@herts.ac.uk)
==
Short-listings will start on 1st October 2022 *
Bursary £15,609 p.a.
- application before this date is strongly encouraged
We invite applications for a PhD studentship at the University of
Hertfordshire, UK, under the supervision of Dr. Frank Foerster in
the area of machine learning for human-robot interaction. We are particularly
interested in pursuing research that connects to the following two topics, but
alternative ideas will be considered too.
Research Topics
Topic 1: Socially driven Machine Learning in Robotic Language Acquisition
Topic 2: Repair Mechanisms in (speech-involving) Human-Robot Interaction
More information including relevant papers are provided in the
following PDF: https://bit.ly/3QsM4vQ
Independent of the particular topic, we have recently become member of the HomeBank corpora, and would strongly encourage interaction and collaboration with developmental psychologists, psycholinguists, or conversation analysts.
Person Profile
You will have an excellent first degree and a very keen interest and motivation in human-machine interaction in general and/or language acquisition or robotic speech interfaces in particular. Optimally you should have an excellent background in Computer Science, Computational/Cognitive Robotics, (computational) linguistics, artificial intelligence, or similar disciplines with a considerable quantitative/computational component.
Due to the interdisciplinary nature of the topic we will also consider applicants with a background in (developmental) psychology, philosophy, or pragmatics as long as you have some experience in programming, machine learning, or dialogue systems.
Prior experience with topics such as reinforcement learning, or statistical learning more generally is highly desirable, but not essential if the quantitative background is otherwise very strong. The knowledge of later Wittgenstein is a big plus.
If you have questions, have alternative suggestions for a related,
but distinct topic, and/or are generally interested in applying,
please contact:
Dr. Frank Foerster
f.foerster@herts.ac.uk
