Research Assistant/Associate in Verification of Learning-enabled Cyber-physical Systems
The Department of Computing at Imperial College London is a leading department of computer science, with a strong international presence in areas relevant to this position, such as verification, and artificial intelligence. We are seeking to hire a Research Assistant/Associate in the research group of Verification of Autonomous Systems, presently lead by Prof. Alessio Lomuscio. The group is active in the areas of verification of intelligent...
Job listing information
- Reference ENG01198
- Date posted 31 March 2020
- Closing date 17 May 2020
The Department of Computing at Imperial College London is a leading department of computer science, with a strong international presence in areas relevant to this position, such as verification, and artificial intelligence.
We are seeking to hire a Research Assistant/Associate in the research group of Verification of Autonomous Systems, presently lead by Prof. Alessio Lomuscio. The group is active in the areas of verification of intelligent agents, both at theoretical level and in terms of implementations, including the MCMAS toolkit which is developed and maintained in the group.
Duties and responsibilities
The goal of this project, partly funded by DARPA under the Trusted Autonomy Program, is to develop verification methods for autonomous agents and cyber-physical systems based on machine-learning. The techniques will initially target systems based on feed-forward neural networks and then progress to address more sophisticated networks.
The project will include both a theoretical component with strong emphasis on SMT-solving, mixed-integer programming and verification techniques, as well as tool construction. All outputs of the project will be openly published and all software will be released as open-source. Applicants can refer to this paper as one of the starting points of this research direction.
Applicants are expected to have the following:
- A strong background in verification, SMT solving, integer programming.
- An understanding of neural networks and machine learning methods, or a strong willingness to learn these methods.
- Good communication, excellent technical writing skills, and ability to prioritise work to meet deadlines is essential.
- A proven ability to program and maintain state-of-the-art toolkits is highly desirable but not essential.
- At Research Associate level you must have been awarded a PhD (or equivalent) in an area pertinent to the subject area in Computer Science or a related field.
- At Research Assistant level you must have been awarded a Master’s (or equivalent) in an area pertinent to the subject area in Computer Science or a related field.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £35,477 to £38,566 per annum.
Please note this is a re-advertisement; previous applicants need not apply.
The closing date given is a guide only. We may have to close the vacancy once a sufficient number of applications have been received. It is therefore advisable that you submit your application as early as possible to avoid disappointment.
In addition to completing the online application, candidates should attach:
- A full CV.
- A 1-page research statement describing why the candidate’s expertise is relevant to this position and future research plans.
- The details of three referees.
Informal inquiries about this position can be directed to Prof. Alessio Lomuscio: firstname.lastname@example.org
For queries regarding the application process contact Jamie Perrins: email@example.com
For technical issues when applying online please email firstname.lastname@example.org
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Imperial is working in partnership with GIRES to promote respect and provide equal treatment for trans people