Michael Madden IT Department NUI Galway
New PhD and Postdoctoral Research Positions - Sensor Data Mining & Software

July 2012:

Applications are invited from suitably qualified candidates for two positions in the Data Mining & Machine Learning Group at the National University of Ireland, Galway:

  • Postdoctoral researcher: from 1 Sept 2012 for 2.5 years
  • PhD Funded Scholarship: from 1 Sept 2012 for 3 years.

These positions are funded by a recent EU Framework 7 research award that we have received. Our contribution to the project will involve research and development of new data mining algorithms for classification/regression based on sensor data, as well as development of software for desktop and embedded systems. There will be opportunities for travel to meetings with partners across Europe, as well as to international conferences. This is an excellent opportunity to combine R&D with substantial software product development, while collaborating with academic and industrial partners who are members of the project team.

Further information:

  • Postdoctoral research position: how to apply (deadline 15 August 2012)
  • PhD scholarship: how to apply (deadline 17 August 2012)

For informal queries, contact me.

Research Overview

The Data Mining and Machine Learning Group is led by Michael Madden of the College of Engineering & Informatics, NUI Galway.

Our research is focused on new theoretical advances in machine learning and data mining, motivated by important practical applications, on the basis that challenging applications foster novel algorithms which in turn enable new applications.

Specific research topics include:

  • Artificial intelligence, data mining & machine learning
  • Algorithms for classification and numeric prediction
  • New methods for combining domain knowledge with data mining
  • Time series data analysis
  • Probability, reasoning under uncertainty, and Bayesian networks
  • Reinforcement learning
  • Practical applications of data mining and machine learning in science, engineering & medicine.

For more specific information, take a look at our current and recent research projects, our publications, and the current and past members of our group. You can also contact me with questions.

Nonlinearity and Uncertainty in Drug Modelling

Project Overview

This is a strongly interdisciplinary collaborative project, involving Informatics, Mathematics and Applied Mathematics, with an application in Medical Informatics. The project collaborators include researchers in Mathematics and Applied Mathematics in NUI Galway, the Intensive Care Unit at University Hospital Galway, as well as Prof. Stuart Russell’s group in Computer Science in the University of California at Berkeley.

In an ICU ward, computer systems constantly monitor and record data such as changes in heart rate and blood pressure. This project will develop software techniques that uses this data, and will add new mathematics and computing techniques that infer patient response to certain drugs in real-time, to predict the impact on the patient of different drug regimes. This will allow for drug treatments to be tailored to the individual. This contrasts with the current practice of basing treatments on standardised data, taken from clinical trials using healthy volunteers, who might not respond in the same way as sick patients. 

Analyze-IQ: Intelligent Analytical Chemistry Software

We have developed a software suite, Analyze IQ, for the accurate analysis of data from molecular spectroscopy (initially focusing on Raman spectroscopy). Analyze IQ incorporates innovative patent-protected machine learning methods that we have developed specifically for this application domain, but also supports a range of standard machine learning and chemometric techniques. 

The Analyze IQ software also comprises a Raman spectral library of over 2000 different materials. This will help specialists in laboratories and non-specialists in the field identify and quantify illicit and hazardous substances rapidly, easily and accurately. It features intuitive visualisation of results.

Analyze IQ is based on previous interdisciplinary R&D work in the QRS/ML and Hazard-IQ projects, by Dr Michael Madden (Data Mining & Machine Learning Group) , Dr Alan Ryder (Nanoscale Biophotonics, School of Chemistry) and Dr Tom Howley.

AnalyzeIQ in action




© M Madden