Big Data 3D Visualisation using Virtual Reality and Data Augmentation

Engineering and/or Technology
United Kingdom
Bradford
Period: 
1 Jun, 2020 to 31 Aug, 2020
Deadline: 
6 Mar, 2020


General information

Duration: 
3 months
Commitment: 
Full-time
Description: 

Work Placement outline - we will consider applications from Bachelor, Master and Phd students, who will be joining an ongoing research project, working alongside with academic, researchers and PhD students.

With Artificial Intelligence Research (AIRe) Group in collaboration with Advanced Automotive Analytics (AAA) Research Institute

 

Context of Project:

Gamification and Virtual Reality are currently increasingly applied to serious applications such as Engineering and Business Analytics and Data Mining.
The project aims to create a virtual reality environment prototype to visualise various data and machine learning models and their performance (for example benchmark data sets from UCI ML and Kaggle repositories, and also proprietary sources such as Engine Control Unit and driver data (made available from the automotive industry) for vehicles (cars, trucks, buses or e-bike systems) augmented with data about their use and faults, in an interactive way.

Part of the Advanced Automotive Analytics Institute, these projects will benefit of collaborations with a multidisciplinary team of academic staff, post-doctoral researchers and PhD students from Computer Science and Engineering schools and possibly with automotive industry representatives.

Activities Involved:

  • Current Literature and s/w solutions Review.
  • Scrum meetings with the PhD, RA and academic staff; weekly reports.
  • Design and implementation of a prototype on benchmark data.
  • Documentation writing.

 

Deliverables:

  • Prototype using Oculus Rift, Oculus Rift-ready desktops in Computing Enterprise Centre and AAA, Unity3D, R, Python, TensorFlow, Tableau and other relevant software for processing
  • Weekly progress reports. Report on the literature review; User Documentation; Final Report.

 

Prerequisites:

  • Prerequisites skills: programming and problem solving, enthusiasm; previous experience in game programming, user interfaces and/or machine learning & data mining may be a bonus though are not compulsory.
  • Familiarity or interest in R, Python, Tableau, Java will constitute a plus.
  • Students (UG/PG) should apply by submitting a CV, transcript of record and prove of English B2 level;
  • Selected applicants must be recipients of an Erasmus Grants;

 

Compensation: 
No financial compensation
Requirements
Languages: 
English: Independent User B2
Level of Studies: 
Bachelor