Biomedical Machine Learning Post-Doc at Insight, NUI Galway

Insight, NUI Galway is in a collaboration with Fujitsu Laboratories, Limited. The collaboration focuses on research and development in the area of knowledge discovery and explanation from open biomedical data (e.g., drug and protein databases or scientific publications). As a part of the programme we are looking for a post-doctoral researcher who will be located in Galway, Ireland and will pursue research primarily in the area of machine learning and discovery informatics, with applications to drug discovery. The research will be realised in close collaboration with Fujitsu Laboratories in Japan and Fujitsu business units. This will be an exciting role with the opportunity to work on developing practical applications of cutting-edge research aimed at a global audience.
At a high level the chosen candidate will need to have the following capabilities:
- working within a team of researchers based locally in Ireland and internationally (Fujitsu Labs in Japan),
- working on industrially relevant research within multinational academic research settings,
- delivering novel research as well as helping to implement the research outcomes in the form of prototypes,
- occasional supervision of junior researchers in specific sub-projects.
The person will be hired as an Insight researcher on a contract basis for the period of the current research project which will be until July, 2018 with a possibility of an extension in a follow-up programme.
Essential Skills:
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- intimate knowledge of at least two of the following machine learning sub-fields:
* optimisation
* statistical relational learning
* similarity-based learning (e.g., knowledge propagation)
* unsupervised learning (e.g., clustering)
- hands-on experience with at least one of the following types of data:
* drug, gene, protein, pathway, etc., databases
* protein-protein interaction networks
* protein sequences
- knowledge of Python
- experience with at least one of the following scientific computing frameworks:
* NumPy, SciPy and scikit-learn
* MATLAB or GNU Octave
Experience:
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- PhD degree in Computer Science, Bioinformatics or Applied Mathematics
- strong potential for pursuing independent research (proven by a track record of projects the applicant participated in and/or refereed publications)
- knowledge of the following disciplines of mathematics is a significant advantage:
* graph theory (with special emphasis on hypergraphs and network analysis)
* multi-linear algebra (with special emphasis on tensor decomposition and other means for analysing data represented as tensors)
- any of the following specific computer science experience is an additional advantage:
* natural language processing
* high-performance computing (multi-processing, distributed computation)
Application:
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Candidates should submit the following materials (in a single PDF file) by email to Dr. Vit Novacek (vit.novacek [_at_] insight-centre.org), with the subject line 'TOMOE Post-Doc 2016':
- A statement of interest describing your relevant background and skills and why you are interested in this position.
- A current curriculum vitae.
- The name and contact information for three references. Letters of reference will only be solicited for shortlisted candidates.
Contact:
For further information or informal enquiries regarding this position please email Vit (vit.novacek-AT-insight-centre.org).