Csi Graduate Teaching Assistant - London, United Kingdom - London South Bank University

London South Bank University
London South Bank University
Verified Company
London, United Kingdom

5 days ago

Tom O´Connor

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Tom O´Connor

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Description

This Grade 7, academic support role suits an experienced, motivated self-starter, eager to learn/share knowledge and who wants to work in a fast-moving high-tech environment.

This role requires Cyber-Security, Machine Learning and Software Engineering skills.

You'll be part of a team of academics, leading/teaching students, doctoral researchers and also leading and contributing with commercial research partners.

The role requires a commitment to supporting leading edge research, contributing to publishing high quality outputs and support work for securing appropriate research funding.


About you

Minimum skills/experience required for this role:

  • An excellent UG/PG Degree or PhD in a relevant Computing related field.
  • Cyber-Security/ Machine Learning development experience and General Software Engineering skills (e

g:
C, C++, Java, JavaScript, R, Python, etc )

  • Experience working with Artificial Intelligence and Machine Learning/ Deep Learning and Neural Networks
  • Excellent communication skills.

Exciting work you will do.
You will be part of a dynamic academic/research team within a mixed teaching and research active environment. You'll work with Cyber-Security and Software Engineering tools. Machine Learning, Artificial intelligence and analytics related technologies.


The role requires a commitment to supporting leading edge research, supporting publishing high quality outputs and support work for securing appropriate research funding both nationally and internationally.


The skills and experience you will need to be successful.

  • You must have a good Undergraduate/ Postgraduate Degree MA/MSc/PhD (or equivalent) in a Computing/Data Science/Software Engineering related discipline._

Details about the role and how to apply
Contract type - Full-time, working 35 hrs per week, usually Mon-Fri (some weekend work will be required occasionally).


Managers contact details:

Interview and assessment process

Application closing date
:
Midnight on Friday 7th
April 2023
It is expected that the interview (and assessment) will be held on
Mon 24th
& Tue 25th April 2023

Please Note:
The Job Reference # for this post is **REQ8287
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