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Position: Research Fellow in Machine Learning and Data Analytics
Institution: University of Derby
Department: Engineering and Technology
Location: Derby, Derbyshire, United Kingdom
Duties: You will be working on state of the art machine learning and data analytics models for industrial and scientific problems; will be involved in producing industry grade prototypes and systems; will investigate systems and algorithms for producing intelligence and analytics from real word data sources; will be developing and demonstrating systems by producing efficient machine learning algorithms, deep learning models and analytics workflows in intelligently retrieving valuable information from data sources, etc
Requirements: PhD degree in computer science, mathematics, statistics, or related area. Practical experience of developing data analytics and machine learning algorithms. Ability to investigate systems and algorithms for intelligently retrieving information from real word data sources. Good system development, programming and database development experience. Good understanding of commercial grade software engineering and product development experience. Highly committed and respond well to deadlines
   
Text: Research Fellow in Machine Learning and Data Analytics (fixed term for 36 months) Engineering and Technology Location: Markeaton Street Salary: £24,771 to £38,460 per annum Closing Date: Tuesday 07 May 2019 Contract Type: Fixed Term 36 months Post Type: Full Time Reference: 0681-18-R Responsible To: Deputy Head of Department Challenging, interesting and constantly changing, the University of Derby is an extraordinary place to learn and an incredibly rewarding place to work. Ours is an extraordinary educational environment and because we specialise in identifying and developing individual potential, you can be confident you'll receive all the help and encouragement you need to build a rewarding career with lots of opportunities to progress. Our combined higher and further education offering is spread over campuses in Derby, Buxton, Leek and Chesterfield and we have some of the best university facilities in the UK, investing more than £200 million in facilities in the last 10 years. We achieve outstanding results for our teaching and research and with more than 34,000 people choosing to study with us every year, we depend on the dedication of a team of 2,200 academic and professional services staff. Financially strong and seriously ambitious we offer our employees a family-friendly, rewarding career with lots of opportunities to progress. This is an excellent opportunity for an experienced research and development engineer to work on state of the art machine learning and data analytics models for industrial and scientific problems. The role will involve producing industry grade prototypes and systems. The ideal candidate should have a PhD degree in computer science, mathematics, statistics, or related area, complimented by practical experience of developing data analytics and machine learning algorithms. The candidate should have the ability to investigate systems and algorithms for intelligently retrieving information from real word data sources. This position requires very hands on skills, therefore good system development, programming and database development experience is must. A good understanding of commercial grade software engineering and product development experience will be required. You will be highly committed and respond well to deadlines. Informal enquiries can be made to Professor Ashiq Anjum ( A.Anjum@derby.ac.uk ). Applications from job seekers who require Tier 2 sponsorship to work in the UK are welcome and will be considered alongside all other applications. However, non-EEA candidates may not be appointed to a post if a suitably qualified, experienced and skilled EU/EEA candidate is available to take up the post as the employing body is unlikely, in these circumstances, to satisfy the Resident Labour Market Test. The UK Visas and Immigration department requires employers to complete this test to show that no suitably qualified EEA or EU worker can fill the post. For further information please visit the UK Visas and Immigration website. We are committed to safeguarding and promoting the welfare of children and vulnerable adults and expect everyone who works for us to also share this commitment and to treat people with courtesy and respect. Further details: Job Description
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