Employment opportunity

Funded PhD Research Studentships

The School of Computer Science  has funding for students to undertake PhD research in any of the general research areas in the school:

http://www.cs.st-andrews.ac.uk/research

We are looking for highly motivated research students with an interest in these exciting research areas. Our only requirements are that the proposed research would be good, we have staff to supervise it, and that you would be good at doing it. 

We have up to 8 funded studentships, including industrial sponsored studentships, available for students interested in working towards a PhD. The studentships offers costs of fees and an annual tax-free maintenance stipend of about £13,726 per year for 3.5 years. Exceptionally well qualified and able students may be awarded an enhanced stipend of an additional £2,000 per year. Students should normally have or expect at least an upper-2nd class Honours degree or Masters degree in Computer Science or a related discipline.

For further information on how to apply, see our postgraduate web pages (http://www.cs.st-andrews.ac.uk/prospective-pg). The closing date for applications is April 30th 2014 and we will make decisions on studentship allocation by May 31st 2014. (Applicants who apply by March 31st 2014 may be given priority for funded places.) Informal enquiries can be directed to pg-admin-cs@st-andrews.ac.uk or to potential supervisors.

Student Placements for Female Undergraduates

In September 2013 the Scottish Resource Centre for Women in SET, funded by Scottish Government, launched a ground breaking new initiative called Careerwise, with the aim of encouraging more women to pursue science, technology, engineering and mathematics (STEM) careers through work placements aimed at female undergraduates in Scotland.
Twenty organisations have signed up to Careerwise between them offering 43 paid work placements, presenting a unique opportunity for women to gain valuable work experience in industries where they are significantly underrepresented.
Placements take place between June and August 2014 and are paid at a salary of at least £16K pro rata. Applications are welcome from women currently studying STEM subjects at any Scottish University. The closing date for all applications is 31st March 2014.

Organisations providing placements include Ace Winches, Technip, National Oilwell Varco, Atkins, Leiths, Nova Biotics, Nallatech, Cairndene, Selex ES, KP Technology, Insight Arcade, URS, Toshiba Medical Visualization Systems, Edinburgh Napier University, Heriot-Watt University, Royal Botanic Gardens, the Centre for Ecology and Hydrology and the University of Edinburgh.

They have 17 computer science opportunities available for female undergraduates.

Students can View the placements here and download the Interest Application Form

Any enquiries regarding the Careerwise initiative should be directed to careerwise@napier.ac.uk or 0131 455 2267.

Funded PhD Research Studentships

The School of Computer Science  has funding for students to undertake PhD research in any of the general research areas in the school:

http://www.cs.st-andrews.ac.uk/research

We are looking for highly motivated research students with an interest in these exciting research areas Our only requirements are that the proposed research would be good, we have staff to supervise it, and that you would be good at doing it. 

We have up to 8 funded studentships, including industrial sponsored studentships, available for students interested in working towards a PhD. The studentships offers costs of fees and an annual tax-free maintenance stipend of about £13,726 per year for 3.5 years. Exceptionally well qualified and able students may be awarded an enhanced stipend of an additional £2,000 per year. Students should normally have or expect at least an upper-2nd class Honours degree or Masters degree in Computer Science or a related discipline.

For further information on how to apply, see our postgraduate web pages (http://www.cs.st-andrews.ac.uk/prospective-pg). The closing date for applications is March 31st 2014 and we will make decisions on studentship allocation by May 31st 2014. (Applications after March 31st may be considered, at our discretion.) Informal enquiries can be directed to pg-admin-cs@st-andrews.ac.uk or to potential supervisors.

Enterprise First: How to Start a Tech Startup

Enterprise First is the UK’s top graduate startup accelerator, sponsored by government as well as global companies such as McKinsey, KPMG and Microsoft.
 Please see the event description below and check out the facebook event at https://www.facebook.com/events/451961804910008

 

How to Start a Tech Startup

Entrepreneur First is coming to St Andrews to deliver an intensive, practical workshop on how to actually start a startup as a computer scientist.
 
When: Friday 22nd November, 4-5pm.
Where: Physics Theatre C
Why: Maybe you’ve already thought of founding a startup after graduation. But, maybe you’re going into a tech company to gain experience or staying in academia to research your idea. Entrepreneur First thinks best way to build something amazing is to actually do it from Day 1. Why should you compromise? Last year 32 graduates joined Entrepreneur First and built 11 companies now worth over $35million, two of which went on to Y Combinator. Come and find out how.
 
This is the hardest, most challenging career path available, and is almost exclusively open to technical graduates. The Founders of Entrepreneur First will show you what it takes, and highlight previous St Andrews students who have gone on to create successful startups on the programme.
 
If you’re the sort of person who wants to build big, world-changing products, Entrepreneur First was designed for you. Almost everyone has strong technical backgrounds. Entrepreneur First is the only programme in the world to select individuals purely on the basis of talent, often pre idea and pre team, and give them the opportunity to build their ideas with other exceptional people.
 
Entrepreneur First is a not-for-profit backed by the City of London, McKinsey & Company, KPMG, Microsoft, Nokia, Experian, Osborne Clarke, Rackspace, Sky, SVB, and Workspace. You can read about them in the BBC, The Daily Telegraph, The Wall Street Journal, The Guardian, Tech City News, and the Financial Times. Find out more:

Event details

  • When: 22nd November 2013 16:00 - 17:00
  • Where: Phys Theatre C
  • Format: Talk

Internships at Adobe

Adobe are offering two internships this summer. Interns will work with the Partner and Solutions Enablement Team in Edinburgh for 3 months over the summer (June-August though exact dates are flexible). The team in Edinburgh contributes fundamental shared technologies for the Adobe Creative Suite. This includes Adobe-internal technologies shared between products like CEP and cloud technologies, as well as technologies for external customers and developers like the Illustrator and InDesign SDKs, Adobe Exchange and Creative Cloud Connection.

Interns will work on an independent project with supervision from Adobe engineers. In the last few years interns have worked on projects like:

– Eclipse based tooling for generating user interfaces for InDesign extensions
– Working on toolkits for cloud computing
– Creating a debugging editor for HTML5+Javascript extensions building on Adobe Brackets
– Creating an SDK for make it really easy for Adobe developers to create new graphical Lua applications
– Develop a server based on the Jabber IM protocol and an AIR client, to allow team members to post status updates and broadcast messages
– Create a WADL editor – a Ruby On Rails app which generated SDK documentation based on WADL API specifications.

Several interns have shipped code to Adobe customers. Many have stayed on to work with Adobe permanently.

See:

http://www.adobe.com/uk/careers/locations.html#edinburgh
http://blogs.adobe.com/cssdk/
https://www.adobeexchange.com/
http://blogs.adobe.com/creativecloud/creative-cloud-connection/
http://brackets.io

Apply by sending a cv and covering letter to admin-cs@st-andrews.ac.uk

Closing date for applications 26th April 2013

Teaching Fellow in Computer Science

The School of Computer Science are seeking applications for a Teaching Fellow in Computer Science

Applications are invited for a Teaching Fellowship in the School of Computer Science. In the first instance, at least, this is a fixed-term position of three years with a start date May 2013. We require a Teaching Fellow to assist with the development and delivery of high quality, innovative teaching at undergraduate level. Applicants should have at least a BSc in Computer science, preferably a PhD, and previous lecturing and tutorial experience at undergraduate level. Preferably they should also be able to demonstrate ability to deliver a range of core Computer Science courses in classroom, laboratory and small-group tutorial environments; experience in the development of innovative material for learning and teaching; and/or experience of contributing to pedagogical studies in the sciences. The post may be particularly appropriate for someone with recent experience in the secondary education sector.

Information on how to apply.

New EPSRC Grant – Working Together: Constraint Programming and Cloud Computing

We are looking for a Research Fellow to work on this grant! See the job advert (deadline 28 Feb): Research Fellow in Computer Science

Ian Miguel, Adam Barker, and Martin Dominik (of the School of Physics & Astronomy) have been awarded £630K, 3-year grant from the EPSRC for “Working Together: Constraint Programming and Cloud Computing”. Cloud Computing and Constraint Programming are two active, important research streams, both of which will realise significant and sustained benefits from working in concert. Constraint programming is a proven technology for solving complex combinatorial problems. However, the inherent difficulty of these problems means that performance can be variable, often requiring tuning by an expert to obtain best results. One approach to obtaining more robust performance is to employ a portfolio of solvers with complementary strengths. The scalable resource offered by the cloud is perfectly suited to the deployment of such portfolios and presents the opportunity to employ large solver portfolios to tackle challenge problems of exceptional difficulty. Conversely, a major concern in cloud computing is how to deploy an application on the available infrastructure so as to maximise performance and minimise operating costs. Added complexity arises when dealing with Big Data scenarios where it is important to run computation as closely (in terms of network distance) as possible to the data, in order to minimise network latency and maximise the performance of an application. This is a difficult combinatorial problem with a large set of variables including: public cloud provider, cloud configuration, geographical region, pricing etc. to which constraint programming is ideally suited.

Our two primary research streams in ICT will interact and work together with a third in astronomy to deliver a solution to a major challenge application: scheduling telescope observations to measure the abundance of planets throughout the Milky Way. If successful, the benefit to astronomy is clear, but our two primary streams will also benefit greatly from a major evaluation of their ability to work together to solve a large, complex problem.

Lectureship in Computer Science

The School of Computer Science are seeking applications for a Lecturer in Computer Science

We seek lectureship applications from researchers who have a strong research background and excellent publication record in any area of functional programming, complementing and enhancing the existing research team, which has a strong focus on parallel programming models and implementation, resource-aware functional programming, dependent type systems, refactoring, static analysis, and performance modelling, and deep connections with the Haskell community. The candidate should be able to form links with and work collaboratively with other research groups in the school, and contribute to teaching and course design across functional programming and theoretical computer science, especially logic and semantics.

Information on how to apply.