|Salary:||£30,395 to £39,609|
|Placed On:||22nd August 2019|
|Closes:||22nd September 2019|
We are seeking an experienced full stack developer to work closely with the founder to develop a platform to open access to a novel neural network technology developed in the Department of Physics.
We are developing a web based interface to the underlying algorithms, backed by a cloud provider (to be defined), to allow on demand building of neural networks that will be made available via API or downloadable, containerized packages. As the lead developer you will have the opportunity to make your mark on this exciting, innovative project, and be able to define the full architecture from front to back. Our current prototype is built on AWS and Ruby on Rails.
The role offers an opportunity to learn new skills from experienced engineers and scientists. An understanding and connection to the underlying physics is essential. Further formal and informal training will be given as appropriate.
The role will enhance the Department priorities by:
Fixed-term: The funds for this post are available for 1 years in the first instance.
Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.
To apply online for this vacancy and to view further information about the role, please visit :
If you have any queries relating to this role, please contact Dr Gareth Conduit (University Research Fellow) on 01223 337005 or email@example.com
Queries relating the application process should be sent to firstname.lastname@example.org
Please quote reference KA19612 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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