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Institution: Birmingham City University
United Kingdom
Retrieved : 2018-10-11 Expired
Description :
Category: Research | Faculty/Division: Faculty of Computing, Engineering and the Built Environment | School: Computing and Digital Technology | Department: Cyber Security | Location: City Centre Campus | Post Type: Full Time | Closing Date: 15 Oct 2018 | Located in a modern £300M Birmingham City University campus in the heart of Birmingham, the School of Computing and Digital Technology is a thriving, vibrant, and inspiring learning community committed to excellence in research, high quality teaching and industrial engagement. The School has growing research teams in cyber security, software engineering, data science, emergent networks and digital media technology working on visionary, multi-disciplinary, collaborative and impactful research. The School won a £2.2M EU European funded ESIF project, the Big Data Corridor. This project is worth £480K to the University over 3 years. The project involves collaboration between Birmingham City University, Birmingham City Council and several academic and industrial partners. We are seeking a Research Assistant with experience in big data engineering to work on this exciting project with ideally experience in the transport sector. You will contribute to the development of a data platform  for the execution and visualisation of analytics and machine learning functions. You will develop open source tools for client services (e.g. APIs, data analytics & visualisation) and provide tailored support to SMEs to use the platform. The successful candidate will also contribute to research in digital innovation activities relating to the data platform.         We expect the post holder to have knowledge in several of the following areas: Databases, data analysis, and big data techniques and software packages (essential) Building and maintaining a data platform using big data stack technologies (e.g. Hadoop, Cassandra) (essential) Stream processing technologies e.g. Spark, Kafka, Storm (desirable) Data ingestion in a big data environment, including third party tooling, e.g. Flume, Sqoop, Power BI, Talend or Pentaho (desirable) Batch processing, Map Reduce, and export into traditional data warehouses, SQL or No SQL, such as Mongo DB (essential) Application and knowledge of programming languages e.g. Java, Python, R or Scala (essential) Development on cloud computing platforms e.g. AWS, Azure or Alibaba Cloud (essential)  Informal enquiries can be sent to Dr Abdel-Rahman Tawil (email: Abdel-Rahman.Tawil@bcu.ac.uk).




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