[TYPES/announce] PhD position "Efficient and natural proofs and algorithms" at University of Bath

Willem Heijltjes W.B.Heijltjes at bath.ac.uk
Thu Sep 20 08:56:58 EDT 2018


We are recruiting for a PhD position "Efficient and natural proofs and algorithms"

  Funding:  Competition funded (EU/UK)
  Deadline: 31 October 2018 - early application recommended
  Start:    Before 1 April 2019

  People:   Dr. Alessio Guglielmi   A.Guglielmi at bath.ac.uk
            Dr. Willem Heijltjes    W.B.Heijltjes at bath.ac.uk

  Mathematical Foundations Group
  Department of Computer Science
  University of Bath


===== Description =====

Proofs and algorithms are everyday objects in our discipline, but they are still very mysterious. Suffice to say that we are currently unable to decide whether two given proofs or two given algorithms are the same; this is an old problem that dates back to Hilbert. Also, proofs and algorithms are intimately connected in the most famous open problem in mathematics: P vs NP. 

We make progress by trying to unveil the fundamental structure behind proofs and algorithms, what we call their semantics. In other words, we are interested in the following questions: 

  What is a proof? 
  What is an algorithm? 
  How can we define them so that they have efficient and natural semantics? 

The questions above are interesting in their own right, but we note that answering them will enable technological advances of great impact on the society and the economy. For example, it will be possible to build a worldwide, universal tool for developing, validating, communicating and teaching mathematics. Also, quickly producing provably bug-free and secure software will become possible, so solving one of the most complex and important open engineering problems. 

In order to understand proofs and algorithms we create new mathematics starting from proof theory and semantics. The methods we use are mostly discrete, algebraic and combinatorial, but there is a growing geometrical component. The recent advances which our methods are mostly based on are linear logic, game semantics and deep inference. 

You can find more information at 

  http://alessio.guglielmi.name/res/cos/ 

Our group is very well financed via several grants. Thanks to our international relations, working with us means having a truly multicultural experience together with all the researchers at the forefront of this worldwide research effort. As a result, all our graduates work and publish at the highest level. The facilities at the University of Bath are outstanding and the city is so beautiful that UNESCO recognises it as a World Heritage Site. 


===== Contact =====

For questions about the project or the application process, please contact us: 
  Alessio Guglielmi   A.Guglielmi at bath.ac.uk
  Willem Heijltjes    W.B.Heijltjes at bath.ac.uk


===== How to apply =====

Applicants should hold, or expect to gain, a First Class or good Upper Second Class Honours degree, or the equivalent from an overseas university. A master’s level qualification would also be advantageous. 

Formal applications should be made via the University of Bath’s online application form for a PhD in Computer Science: 

  https://samis.bath.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RDUCM-FP01&code2=0013 

Application deadline: 31 October 2018. 

Note: We are hoping to fill this position as quickly as possible and applications may close earlier than the advertised deadline if a suitable candidate is found; early application is therefore recommended.

Start date: negotiable, but by 1 April 2019 at the latest.

See also the advertisement here:

  https://www.findaphd.com/search/ProjectDetails.aspx?PJID=100543


===== Funding =====

Research Council funding is available on a competition basis to Home and EU students who have been resident in the UK for 3 years prior to the start of the project. For more information on eligibility, see:

  https://epsrc.ukri.org/skills/students/help/eligibility/

Funding will cover Home/EU tuition fees, a stipend (£14,777 per annum for 2018/19) and a training support fee of £1,000 per annum for 3.5 years. 

Applicants classed as Overseas for tuition fee purposes are NOT eligible for funding; however, we welcome all-year-round applications from self-funded candidates and candidates who can source their own funding.




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