University College London is seeking to appoint one Doctoral Candidate (DC) to join the Marie Skłodowska-Curie Doctoral Network “neuroMorphic computIng aND signal processing training network” (MINDnet).
Position: Doctoral Candidate (DC) “Development of optoelectronic oxide memristors for compact neuromorphic systems”
Location: Bloomsbury Campus, University College London, with secondments to project partners internationally
Working time: Full-time (36.5 hours per week)
Duration: Fixed term (3 years)
Salary: £36,433 – £47,033, depending on family and pension status. These figures are before employer and employee deductions, including tax, national insurance and pension contributions, subject to the pension choices of the appointee. The level of salary is also subject to the family status of the appointee as to whether they qualify for a family allowance, as well as whether the employee will make pension contributions. Due to potential future changes in the Euro/Pound Sterling exchange rate over the period of the appointment, where amendments are required, corrective payments will be made. Salaries are not subject to either cost-of-living adjustments or increment progression and are inclusive of £5,197 annual London Allowance.
Living, mobility, family, and research allowances: In agreement with the MSCA Doctoral Network financial regulations
This project is offered as part of the MINDnet Marie Skłodowska-Curie Actions (MSCA) Doctoral Network, which has received funding from the European Union's Horizon 2020 Research and innovation Programme under the Marie Skłodowska-Curie Grant Agreement No. 101226674.
The DC will be enrolled on the PhD programme at UCL's Electronic & Electrical Department and will write their thesis on a topic related to the development of optoelectronic oxide memristors for compact neuromorphic systems, supervised by Professor Tony Kenyon at UCL and co-supervised by members of the other academic/industrial teams during the secondments. For further details about the role, please access the job description at the bottom of the page.
Candidates should have a good Undergraduate degree in electronic or electrical engineering, physics, or a related subject. A solid background on semiconductor materials & devices, and/or photonics is essential.
Applicants should possess excellent written and verbal communication, including presentation skills. They should have excellent organisational skills, attention to detail and the ability to meet deadlines. Willingness to travel and work across Europe is required. Understanding, or familiarity with, principles of neuromorphic systems is desirable.
All candidates must meet the following requirements to be considered for this post:
Applications must be submitted on the UCL website.
Each application must include the following material:
Informal enquiries regarding this post can be addressed to Professor Tony Kenyon at a.kenyon@ucl.ac.uk. Please contact Rebecca Thomas at becca.thomas@ucl.ac.uk for enquiries about the application process.
The application deadline is 28th May, 23:59.
As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
You can read more about our commitment to Equality, Diversity and Inclusion here : https://www.ucl.ac.uk/equality-diversity-inclusion/
Available documents:
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