We are looking for a suitable candidate to develop methods for realtime monitoring and calibration of medical manufacturing processes. The role will involve working jointly with the Insight Centre for Data Analytics at University College Dublin, the UCD School of Engineering and Architecture, and DePuy (Synthes) Ltd. The data for this project arise from recent advances in the ability of sensors to produce massive data streams relating to the manufacturing process, and so to identify when machines are 'out of spec' and require re-calibration. The project will be supervised by Prof Andrew Parnell (Principal Investigator, Statistics and Data Analytics) and Dr Eamonn Ahearne (Engineering).
Candidates must meet the following criteria:
- PhD in Statistics or Machine Learning;
- Experience in one or more of: time series analysis, outlier detection, real-time algorithm development, multivariate analysis, image analysis;
- Experience with programming languages R or Python;
- A demonstrated commitment to research and publications;
- An understanding of the operational requirements for a successful research project;
- Evidence of research activity (publications, conference presentations, awards) and future scholarly output (working papers, research proposals, and ability to outline a research project
- Excellent Communication Skills (Oral, Written, Presentation etc)
- Excellent Organisational and Administrative skills including a proven ability to work to deadlines
The role is for up to 24 months with salary in the range €33,975 - €37,063 per annum.
Deadline: 11th October 2016, 5pm.
For more information please visit http://www.ucd.ie/hr/jobvacancies/ and search for job reference number 008735.
