PhD Candidate for the Donders Centre for Cognition: Designing Novel Monte Carlo Algorithms

Job title:

PhD Candidate for the Donders Centre for Cognition: Designing Novel Monte Carlo Algorithms

Company:

Job description

Offer DescriptionAre you interested in designing and analysing algorithms based on completely novel computing principles? And in collaborating with physics researchers to finetune Markov Chain Monte Carlo algorithms using new materials currently only available in specialist labs? Or in working towards computation principles of the next decade? Then this PhD position may be of interest to you!In this PhD position you will develop and analyse a new class of Markov chain Monte Carlo algorithms (such as Gibbs Sampling and Metropolis-Hastings) that make use of a novel technology that is currently only available in specialist labs. Using dedicated photonic manipulation, researchers can build covarying bits out of magnetic fields at the nanoscale that can be used at speeds that are orders of magnitude faster than current CMOS technology. In order to demonstrate the computational power of so-called synchronised stochasticity for approximate Bayesian inference, you will develop novel MCMC algorithms that make use of this feature for energy, time and space efficiency. In addition to algorithm development, implementation (using an emulator) and simulation, you will also work on analysing the theoretical properties of these algorithms using the mathematical framework of randomised complexity theory.You will be part of both the Probabilistic Graphical Models group at the Donders Centre for Cognition and the interdisciplinary team of researchers and PhD candidates on this consortium project. In addition to research in this domain, you will contribute to academic teaching in the BSc and MSc programmes in AI, follow courses offered by the Donders Graduate school and the national IPA and SIKS research schools, and collaborate with inspiring colleagues in the international PGM research community.RequirementsSpecific Requirements

• You have an MSc in computer science, applied mathematics, artificial intelligence, or a related discipline.
• You have a strong interest in performing foundational algorithmics and computational complexity research.
• You have mature mathematical knowledge and programming skills, for example demonstrated in your MSc thesis research project.
• You are familiar with Linux and preferably have experience with programming in low-level languages such as C/C++ and assembly language and/or low-level hardware design such as VHDL.
• You have good writing and presentation skills, a good command of the English language, and demonstratable skills in interdisciplinary collaboration (e.g. in your study programme).
• Knowledge of / experience in Bayesian networks and approximate Bayesian inference is appreciated.

Additional InformationBenefits

• We will give you a temporary employment contract (0.8 FTE 5- year contract – 1.0 FTE 4- year contract) of 1,5 years, after which your performance will be evaluated. If the evaluation is positive, your contract will be extended by 2.5 years (4-year contract) or 3.5 years (5-year contract).
• You will receive a starting salary of €2,770 gross per month based on a 38-hour working week, which will increase to €3,539 from the fourth year onwards (

). * You will receive an 8% holiday allowance and an 8,3% end-of-year bonus.

• You will be able to use our

. The Dual Career Programme assists your partner via support, tools, and resources to improve their chances of independently finding employment in the Netherlands. Our Family Support Service helps you and your partner feel welcome and at home by providing customised assistance in navigating local facilities, schools, and amenities. Also take a look at our page to discover all our services for international employees. * You will receive extra days off. With full-time employment, you can choose between
of annual leave instead of the statutory 20.Work and science require good employment practices. This is reflected in Radboud University’s primary and secondary . You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes.Additional commentsYou can apply no later than June 13, 2024 only via the button below. Address your letter of application to Johan Kwisthout, Full Professor.The first interviews will take place in mid-June. An interview date will be set in consultation with you. You will preferably start your employment as soon as possible.We can imagine you’re curious about our . It describes what you can expect during the application procedure and how we handle your personal data and internal and external candidates. If you wish to apply for a non-scientific position with a non-EU nationality, please take notice of the . Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Radboud Universiteit Country Netherlands City Nijmegen Postal Code 6525XZ Street Houtlaan 4 GeofieldWhere to apply WebsiteContact CityNijmegen WebsiteStreetHoutlaan 4 Postal Code6525 XZSTATUS: EXPIRED

Expected salary

€2770 per month

Location

Monte-Carlo, Monaco

Job date

Mon, 20 May 2024 06:58:18 GMT

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