Deep Learning for Personalised Remarketing
College of Engineering, Design and Physical Sciences: EPSRC Funded DTP PhD Studentships
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 entitled “Deep Learning for Personalised Remarketing”. 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 applicants will join the internationally recognised researchers in the Department of Computer Science. The project is aimed to develop new methods to manipulate and generate images and videos for personalised remarketing using deep learning technologies. Realistic image and video contents will be automatically generated from a user’s online profile (preferences, browsing history, shared pictures etc.) by embedding compatible items (e.g. clothes, hats, sunglasses etc) to the original pictures or videos of the user.
Applicants will be required to demonstrate their strong programming skills in Java and Python and that they possess good knowledge of Artificial Intelligence and Machine Learning.
Please contact Dr. Yongmin Li (Yongmin.Li@brunel.ac.uk) or Dr. Alina Miron (Alina.Miron@brunel.ac.uk) for an informal discussion about the studentships.
Applicants will have or be expected to receive a first or upper-second class honours degree in Engineering, Computer Science, Design, Mathematics, Physics or a similar discipline. A Postgraduate Masters degree is not required but may be an advantage.
Experience in Deep Learning models such as Convolutional Neural Networks, Recurrent Neural Networks and Generative Models is an advantage. In addition, applicants should be highly motivated, able to work independently as well as in 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 firstname.lastname@example.org 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.
Dr Yongmin Li
- Dr. Yongmin Li received his PhD from Queen Mary, University of London, MEng and BEng from Tsinghua University, China. Before joining Brunel University London, he worked as a research scientist in the British Telecom Laboratories. Dr. Li is a Senior Member of the IEEE, and Fellow of the Higher Education Academy. His research interest covers the areas of data science, machine learning, artificial intelligence, image processing, computer vision, video analysis, medical imaging, bio-imaging, biomedical engineering, healthcare technologies, automatic control and nonlinear filtering.Together with his colleagues, he has won the Most Influential Paper over the Decade Award at MVA 2019 and Best Paper Awards at Bioimaging 2018, HIS 2012, BMVC 2007, BMVC 2001 and RATFG 2001.
PhD Studentships available
(annual bursay of £17,285 plus payment of tuition fees for 3 years). Find details at my personal website.
Master of Science in Artificial Intelligence 2020/21:
Built on our strong international research profile in intelligent data analysis (1st for H-index and 5th overall in UK by "the NTU Performance Ranking of Scientific Papers for World Universities", Subject: Computer Science, 2019), we offer the MSc Artificial Intelligence course with great flexibility (1 year full-time, 2 year part-time or 3 year staged study). If you are interested, apply here
. Scholarships available.