Summer Internships

UNDERGRADUATE SUMMER RESEARCH INTERNSHIPS 2018

SCHOOL OF ELECTRONICS, ELECTRICAL ENGINEERING & COMPUTER SCIENCE AND GLOBAL RESEARCH INSTITUTE

The School of EEECS and Global Research Institute will be supporting a number of  Summer Research Internships over the Summer 2018 holiday period.  The aim of the Scheme is to identify and develop researchers of the future.  It is hoped that the internship will improve employability by developing experience and key skills such as problem solving, team working, and self-discipline.

Eligibility

The scheme is open to all EEECS Undergraduates (apart from students on the BIT degree pathway and students who are due to graduate this summer).

General Information

Each school internship will last between 6-8 weeks and will pay a weekly stipend of £250 for each week worked (GCHQ internships will pay £300 for each week worked).  

Accommodation and travel costs are not provided under this scheme.

Students will be expected to complete this application form (click on link) and return it to Elaine Cranston by no later than Friday 25th May 2018.

Successful applicants are asked to attend the Development Week activity "Scientific Research: A Widely Applicable Skill" by means of induction to the internship and opportunity to network with students with similar interests.

Further details on projects can be obtained by following the links below (projects with links)


EEECS School Projects:

  • Portable and Low Cost Sensor for Benzene Monitoring
  • Graph analytics
  • Low cost microwave sensor for 24/7 healthcare monitoring
  • Mobile Telepresence Robotics for Everyday tasks
  • High bandwidth, low latency perception framework
  • Rough world – a simulation based comonsense knowledge system for Artificial Intelligence
  • Crowdsourced conversational avatar framework
  • Deep learning training and analysis framework
  • A Smart Office with Face Detection at the Edge
  • Visualisation of Software Evolution
  • Floating point error analysis in the LLVM compiler
  • Software for Migrating Services in the Edge
  • Adaptive dataflow graphs
  • Deep Reinforcement Learning for Robotics
  • Machine Leaning based Modelling of the Energy and Reliability of State-of-the-Art Servers
  • FPGA-based implementation of routing schemes in WiFi-based Mobile Ad Hoc Networks

The general information for the following two internships is the same as above however, final year students may also apply for these two projects.

  • Lego Smart Buildings (1)
  • Lego Smart Buildings (2)

 

Please Note: The internship must take place during the Summer and successful applicants will be encouraged to negotiate start and finish dates with their supervisor. It is possible to split the internship to allow for summer holidays. Please note that the internships will be offered across three sites (the Ashby Building, ECIT and the Computer Science Building).

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