A position exists, for a Research Assistant/Associate to work in the Dialogue Systems Group of the Department of Engineering under the supervision of Dr Milica Gasic.
The post holder will be located in Central Cambridge, Cambridgeshire, UK.
The key responsibilities and duties are to develop novel deep reinforcement learning and supervised learning algorithms that can be used for dialogue modelling with particular application to healthcare. Additional responsibilities include maintaining the Group's codebase.
Applicants must have obtained (or be close to obtaining) a PhD in Engineering, Computer Science, Mathematics or a related field or have equivalent industrial experience. They should have expertise in deep learning, preferably deep reinforcement learning. Previous exposure to dialogue modelling will be preferred. The successful candidate should also have: strong programming skills; extensive knowledge of Python is essential. Experience of MySQL and web development would be an advantage. Candidates should have strong communication and team working skills.
Salary Ranges: Research Assistant: £25,728 - £30,688; Research Associate: £31,604 - £38,833
Fixed-term: The funds for this post are available for 24 months in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Please ensure that you upload your Curriculum Vitae (CV) and a covering letter and a full list of publications in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.
If you have any questions about this vacancy or the application process, please contact: Louise Segar email firstname.lastname@example.org. (Tel +44 (0)1223 332711)
Please quote reference NM14992 on your application and in any correspondence about this vacancy.
The University values diversity and is committed to equality of opportunity.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.