Company

University of SouthamptonSee more

addressAddressSouthampton, Hampshire
type Form of workFull time
CategoryEngineering

Job description

2597524FP

Full time or Part time working considered (upwards of 20 hours per week)

This is an excellent opportunity if you are an expert in Natural Language Processing and have a keen interest in cybersecurity. We are looking to fill the post from the 1st of February 2024 or as soon as possible.

You will join the Cyber Security Group in the School of Electronics and Computer Science (ECS) at the University of Southampton. You will work on a Cyber-ThreaD research project that aims to support the autonomous decision-making process by providing attacker-oriented defence mechanisms through the usage of a NLP extractor for cyber- attack attribution.

Your main goal will be to extract information and reasonings related to attack/threat attribution from cyber threat intelligence reports. At the current state of the project, you will be looking into the relationships’ extractions from the selected set of reports to be used during the automatic reasoning process of cyber-attack investigation. You should work on publishing the research through high-quality papers in top Security and/or NLP venues as well as presenting the research findings to the project funder and in academic events. You will join a team of cybersecurity experts, thus, having experience in cybersecurity is optional but having an interest in it is welcomed.

Open to researchers from around the world and from diverse backgrounds, the scheme supports those who have the potential and ambition to become leaders in their field, and who want to achieve the remarkable and build an inclusive world.

About you

  • You will have a PhD or equivalent professional qualification and experience in Computer Science or a similar area.
  • Have experience in machine learning. Our ideal candidate is an expert in Natural Language Processing techniques for text extraction.
  • While the project is in the area of cyber-attack investigation, you are not required to be an expert in this area, but a keen interest in cybersecurity will be valued.
  • You will have strong computer programming skills.
  • Good interpersonal and communication skills.

The post will be held in the School of Electronics and Computer Science (ECS) (http://ecs.soton.ac.uk). Ranked in the top 1% of universities globally and among the UK's top 20 for research, the University of Southampton has an international reputation for its research, teaching and enterprise activities.

Electronics and Computer Science provides a unique, friendly and supportive environment that facilitates use-inspired and multi-disciplinary research, education, training and outreach. We have a range of staff development programmes and a unique mentoring and wellbeing scheme. To find out more about working at ECS, visit: https://www.ecs.soton.ac.uk/workinghere

ECS holds an Athena SWAN bronze award in recognition of its continued commitment to improving equality for women in science and engineering.

For more information, contact: Dr Erisa Karafili: e.karafili@soton.ac.uk

  • Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon completion of PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.
Apply Online
Further details:
  • Job Description and Person Specification

As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach.

Apply by midnight on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number

Refer code: 2627869. University of Southampton - The previous day - 2024-01-27 00:53

University of Southampton

Southampton, Hampshire
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