Design and implementation of AI system for fast and reliable weed control

Brunel University London (BUL) is recruiting to EPSRC Doctoral Training Partnership (DTP) PhD studentships effective 1 October 2020. Applications are invited for the following specific project called “Design and implementation of AI system for fast and reliable weed control.” Successful applicants will receive an annual stipend (bursary) of £17,285 plus payment of their full-time home tuition fees for a period of 36 months (3 years).

Applicants must be eligible for home tuition fees either through nationality, residency (living in the UK for at least three years and not wholly for educational purposes) or other connection to the UK. The successful applicant will join the internationally recognised researchers in the Department of Electronic and Computer Engineering.

This exciting research project is focused on design and implementation of the AI-based system that will allow in the near real time to complete the weed classification and recognition requiring minimal or zero manual intervention. The challenge is to ensure that the agile capsule neural network approach will allow to introduce the new types of weeds in timely manner and therefore increase the quality of the weed control in the farming.

Applicants will be required to demonstrate their ability analyse critically, software engineering skills and
foundational knowledge on existing AI techniques, preferably deep learning.

Please contact Dr Tatiana Kalganova at [Email Address Removed] for an informal discussion about the studentships.

Eligibility
Applicants will have or be expected to receive a first or upper-second class honours degree in an Engineering, Computer Science, Design, Mathematics, Physics or a similar discipline. A Postgraduate Masters degree is not required but may be an advantage.

Experience in design and implementation of AI-based deep learning system is an advantage. In addition, applicants should be highly motivated, able to work independently as well as part of a team, collaborate with others and have good communication skills.

How to Apply
Please submit your application documents (see list below) by Noon on Friday 26 June 2020 to [Email Address Removed] Interviews will take place in July 2020.
• Your up-to-date CV;
• Your personal statement (300 to 500 words) summarising your background, skills and experience;
• Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
• Evidence of your English language skills to IELTS 6.5 (or equivalent, 6.0 in all sections), if appropriate;
• Contact details for TWO referees, one of which can be an academic member of staff in the College.
Remember to state the title of the project at the top of your personal statement.