AppleMilton Keynes
Do you love how it feels to help others? The Apple Store is dedicated to delivering a customer experience that’s unlike any other.As a Specialist, it starts with you discovering customers’ needs.And with the support of your store team members, you match those needs with the right product...
UberMilton Keynes
Driving with Uber offers a flexible earning opportunity.It’s a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment.Or maybe you’re already using other rideshare apps and want to supplement your income by becoming a driver using ...
UberHigh Wycombe
Driving with Uber offers a flexible earning opportunity.It’s a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment.Or maybe you’re already using other rideshare apps and want to supplement your income by becoming a driver using ...
UberHigh Wycombe
Driving with Uber offers a flexible earning opportunity.It’s a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment.Or maybe you’re already using other rideshare apps and want to supplement your income by becoming a driver using ...
Ernest Gordon Recruitment LimitedBicester
leading edge nanoparticle deposition equipment, working with leading academic institutions such as Oxford University, now seeking an ambitious sales manager to capitalize on recent success and bring on new clients into the business, and grow...
University of OxfordOxford, 13 mi from Bicester
to the University of Oxford. We aim to lead the world in research and education for the benefit of society both in the UK and globally. Oxford’s researchers engage with academic, commercial and cultural partners across the world to stimulate high-quality research...
University of OxfordOxford, 13 mi from Bicester
Director of Estates
Considering making an application for this job Check all the details in this job description, and then click on Apply.
Salary negotiable upon experience
We aim to lead the world in research and education for the benefit of...
University of OxfordOxford, 13 mi from Bicester
annum)
The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Through a commitment to the personal education of each student, we provide a quality education...
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Research Associate on project FAIR
University of Oxford, Dept of Computer Science | Oxford | findajob.dwp.gov.uk |
We are looking for a motivated Research Associate to play a key role in Project FAIR, a collaboration between Universities of Oxford, Cambridge, Edinburgh, Warwick, University College London and The Alan Turing Institute. You will be a member of the collaborative project team working at the cutting edge of Computer Science.
Reporting directly to Professor Marta Kwiatkowska, you will be contributing to the development of artificial intelligence frameworks, models and algorithms to ensure robustness in financial systems. Based within an internationally leading research group, you will benefit from working in Oxford University’s acclaimed Computer Science Department, located in the heart of Oxford’s Scientific Keble Triangle.
You will carry out research on robustness verification in AI. This may involve adversarial and/or distributional robustness; probabilistic/statistical verification and certification; (multi-agent) reinforcement learning and stochastic control; Bayesian methods and probabilistic circuits.
Suitably qualified candidates will have an opportunity to lead software tool implementation.
You will be expected to write research articles for leading conferences and journals, complete clear task objectives, organise your workload, and proactively contribute towards the project’s objectives.
You should hold a PhD (or be close to completion) in computer science, mathematics or related discipline, possess sufficient specialist knowledge across some/all areas of: probabilistic verification and synthesis, statistical inference, Bayesian methods, neural network certification, constraint solving and optimisation.
Experience of software development I relevant areas is desirable.
The closing date for applications is 12 noon on 22nd May 2024. Interviews are expected to be held in early June.
We are a Stonewall Top 100 Employer, Living Wage, holding an Athena Swan Bronze Award, HR excellence in Research and Race Equality Charter Bronze Award.
Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example http://www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html , as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example shared parental leave.
Demonstrating a commitment to provide equality of opportunity, we would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department. All applicants will be judged on merit, according to the selection criteria.
Reporting directly to Professor Marta Kwiatkowska, you will be contributing to the development of artificial intelligence frameworks, models and algorithms to ensure robustness in financial systems. Based within an internationally leading research group, you will benefit from working in Oxford University’s acclaimed Computer Science Department, located in the heart of Oxford’s Scientific Keble Triangle.
You will carry out research on robustness verification in AI. This may involve adversarial and/or distributional robustness; probabilistic/statistical verification and certification; (multi-agent) reinforcement learning and stochastic control; Bayesian methods and probabilistic circuits.
Suitably qualified candidates will have an opportunity to lead software tool implementation.
You will be expected to write research articles for leading conferences and journals, complete clear task objectives, organise your workload, and proactively contribute towards the project’s objectives.
You should hold a PhD (or be close to completion) in computer science, mathematics or related discipline, possess sufficient specialist knowledge across some/all areas of: probabilistic verification and synthesis, statistical inference, Bayesian methods, neural network certification, constraint solving and optimisation.
Experience of software development I relevant areas is desirable.
The closing date for applications is 12 noon on 22nd May 2024. Interviews are expected to be held in early June.
We are a Stonewall Top 100 Employer, Living Wage, holding an Athena Swan Bronze Award, HR excellence in Research and Race Equality Charter Bronze Award.
Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example http://www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html , as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example shared parental leave.
Demonstrating a commitment to provide equality of opportunity, we would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department. All applicants will be judged on merit, according to the selection criteria.