View source for Jan 2023 Start - University of Hertfordshire UK - PhD Studentship in MACHINE LEARNING FOR (LANGUAGE-INVOLVING) HUMAN-ROBOT INTERACTION

{{Announcement
|Announcement Type=Job
|Full title=Jan 2023 Start - University of Hertfordshire UK - PhD Studentship in MACHINE LEARNING FOR (LANGUAGE-INVOLVING) HUMAN-ROBOT INTERACTION
|Short title=UH PhD ML 23
|Short summary=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
|Announcement text=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
|Year=2022
|Web link=https://bit.ly/3KYEqrE
|Categories (tags)=Uncategorized;
|From date=2022/09/08
|To date=2022/10/01
|Location=51.7518, -0.23998
|Submission deadline=2022/10/01
}}