Applications are invited for a research role on assurance cases for the decision making of highly autonomous systems. In this role, you will design assurance case structures for the assurance of machine learning in autonomous vehicle decision-making applications. In other words, you will show how we could justify that machine learning would be safe to use in such vehicles. You will then evaluate the assurance case patterns by applying them to a number of autonomous driving applications and scenarios. All of this will build on the AMLAS approach previously developed by the department.
The role is funded by the Marie-Sklodowska-Curie Innovative Training Network “SAS – Safer Autonomous Systems” within the Horizon 2020 Programme of the European Commission. SAS is a consortium of high-profile universities, research institutions and companies located in Belgium, UK, France, Germany, The Netherlands, Norway and Ireland.
In addition to your individual project, you will pursue further continuing education, including a variety of training modules as well as transferable skills courses and active participation in workshops and conferences. You will have regular contact with the other 13 researchers in the SAS ETN and their supervisors.
The post is tenable for 8 months, as long as you start by the end of February 2022.
You will have a first undergraduate degree (and preferably a Masters) in Computer Science, Electronic Engineering, or Robotics, or a closely-related discipline, along with knowledge of software engineering sufficient to engage in high quality research, and experience with machine learning.
You will need to fully comply with the Marie-Curie eligibility criteria (which you must demonstrate in your application):
Early-stage researchers (ESR) are those who have, at the time of recruitment by the host, a qualification which formally entitles them to embark on a PhD in the host country and less than four years of (full-time equivalent) research experience. Measurement of research experience starts from the date when you obtained the relevant qualification.
Conditions of international mobility of researchers: You are required to undertake trans-national mobility (i.e. move from one country to another) when taking up the appointment. At the time of appointment, you must not have resided or carried out your activity (work, studies, etc.) in the UK for more than 12 months in the 3 years immediately prior to their recruitment. (Short stays, such as holidays, do not count towards this)
English language: You must demonstrate that your ability to understand and express yourself in both written and spoken English is sufficiently high for you to derive the full benefit from the network training.
Interview date: 18/19 November 2021
For informal enquiries: please contact Rob Alexander email@example.com
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