D58303R - Research Associate (Re-Comp)
 

Salary:                       £29,301 to £31,076 (with progression to £38,183)

Closing Date:            18 February 2017

The ReComp project addresses the problem of managing the decay in the value of the knowledge generated from (big) data analytics over time.

ReComp aims to create a decision support system that is capable of determining when and how past analytics outcomes should be refreshed, in a way that optimises the benefits, i.e., the value to knowledge consumers, vs a vis the cost of big data processing. The research involves developing predictive models to estimate the impact of changes in data and processes on the outcomes, while limiting the amount of actual re-computation needed. This is a meta-analytics problem, where data analytics techniques aimed at learning the impact of changes are applied to records of the history of past computations.

You will contribute to the research into predictive models for impact estimation, as well as to the development of the underlying software architecture for the collection and analysis of past computation history.

You will have a PhD awarded in Computing Science and strong skills in Data Science and Data Analytics techniques, including working knowledge of Machine Learning theory and libraries

The post is available fixed term until 31.01.2019 and is full time

The ReComp team is led by Dr. Missier at the School of Computing Science, Newcastle University, and by three CO-I:
Prof. Paul Watson, head of the Scalable Computing Group at Newcastle; Prof. Patrick Chinnery, Professor of Neurology & Head of Department of Clinical Neurosciences at Cambridge, and Phil James, Geo Sciences, who is responsible for Newcastle University’s Urban Observatory.

Click here for further details

The School of Computing Science is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a bronze Athena SWAN award in addition to the University’s Silver Athena SWAN award in recognition of our good employment practices for the advancement of gender equality, and the University holds the HR Excellence in Research award for our work to support the career development of our researchers.  We are also a member of the Euraxess network.

 

Appointment will always be made on merit
Faculty/Services
Faculty of Science, Agriculture & Engineering
Unit
Computing Science
Sub Unit
Computing Science
Staff Category
Research
Contract Type
Fixed Term
Hours of Work
Full Time
Location
Newcastle upon Tyne
 
Salary:                       £29,301 to £31,076 (with progression to £38,183)

Closing Date:            18 February 2017

The ReComp project addresses the problem of managing the decay in the value of the knowledge generated from (big) data analytics over time.

ReComp aims to create a decision support system that is capable of determining when and how past analytics outcomes should be refreshed, in a way that optimises the benefits, i.e., the value to knowledge consumers, vs a vis the cost of big data processing. The research involves developing predictive models to estimate the impact of changes in data and processes on the outcomes, while limiting the amount of actual re-computation needed. This is a meta-analytics problem, where data analytics techniques aimed at learning the impact of changes are applied to records of the history of past computations.

You will contribute to the research into predictive models for impact estimation, as well as to the development of the underlying software architecture for the collection and analysis of past computation history.

You will have a PhD awarded in Computing Science and strong skills in Data Science and Data Analytics techniques, including working knowledge of Machine Learning theory and libraries

The post is available fixed term until 31.01.2019 and is full time

The ReComp team is led by Dr. Missier at the School of Computing Science, Newcastle University, and by three CO-I:
Prof. Paul Watson, head of the Scalable Computing Group at Newcastle; Prof. Patrick Chinnery, Professor of Neurology & Head of Department of Clinical Neurosciences at Cambridge, and Phil James, Geo Sciences, who is responsible for Newcastle University’s Urban Observatory.

Click here for further details

The School of Computing Science is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a bronze Athena SWAN award in addition to the University’s Silver Athena SWAN award in recognition of our good employment practices for the advancement of gender equality, and the University holds the HR Excellence in Research award for our work to support the career development of our researchers.  We are also a member of the Euraxess network.

 

Appointment will always be made on merit