Academic/Research positions in Business Analytics, Data Science, Machine Learning in February 2016

The position is in Function-driven Data Learning in High Dimension project. The candidate is expected to perform rigorous theoretical analysis and develop numerical methods for manifold approximation using tools from regularization theory, sparse approximation, and machine learning. These techniques will then be applied to address real-life problems in cardiac modeling.

For the European Data Science Academy EU project we are urgently looking for a postdoc (or possibly MSc graduate) that has experience/interest in learning analytics, MOOC creation and process mining.

The CER group works towards advanced and efficient methods for the recognition of complex events in Big Data streams. The positions will be funded by two EU Big Data projects (FP7-ICT and H2020).

The University of Iowa Informatics Initiative is searching for two staff scientists with expertise in data and computational science. These individuals will collaborate on and support faculty projects from across the University in disciplines ranging from medical sciences to digital humanities.

The Helsinki Doctoral Education Network in Information and Communications Technology (HICT) is a collaborative doctoral education network hosted jointly by Aalto University and the University of Helsinki, the two leading universities within this area in Finland. The activities of HICT span 5 research areas: Algorithms and machine learning; Life science informatics; Networks, networked systems and services; Software and service engineering and systems; User centered and creative technologies. Apply by Feb 29

Candidates with an interest and expertise in Business Analytics, Data Science and Decision Analytics are preferred. All areas of finance and real estate will be considered.

Applications are invited from individuals who have expertise in the fields of Data Science, Databases, Big Data, Data Mining, Data Analytics and Information Systems Development and related emerging areas relevant to courses provision in the Division. You will be expected to contribute flexibly to teaching in any of the Computer Science and Information Systems areas. For an informal discussion contact the Head of School, Keith Miller on 0161 247 1544 or email k.miller@mmu.ac.uk.

Contribute to a funded project on academic federated database construction and cross-database analysis for research purposes of data from autonomous and geographically distributed databases. Possible research topics include data integration, ontology knowledge mining, privacy preservation, etc.

Contribute to a funded project on academic federated database construction and cross-database analysis for research purposes of data from autonomous and geographically distributed databases. Possible research topics include privacy preservation, data integration, ontology knowledge mining, etc.

Investigate the development of statistical models for detecting functional decline and the onset of illness in elderly people from sensor observations over time. This system will include a novel inexpensive sensor bundle comprising unobtrusive sensors, and decision procedures that determine whether and how to communicate with seniors and carers to deliver information and alerts.