Archive for data science
Data Science & Machine Learning book free for download
Posted in Statistics with tags ACEMS, Australia, CRC Press, data science, machine learning, not a book review, textbook, University of Queensland on November 30, 2020 by xi'anwhat have rough paths got to do with data science?
Posted in Statistics with tags colloquium, data science, rough paths, seminar, Terry Lyons, University of Warwick, Zeeman building on November 22, 2019 by xi'an
statistics: a data science for the 21st century
Posted in Statistics with tags data science, Lancaster University, Peter Diggle, Royal Statistical Society, University of Warwick, Warwick Public Lecture on May 15, 2018 by xi'an
Peter
a postdoc with Christian Robert
Posted in Statistics with tags analytics, data science, insurance, Lyon, machine learning, postdoctoral position, Université Claude Bernard Lyon 2 on April 12, 2018 by xi'an
[Here is another call for a postdoctoral position in Lyon, under the supervision of my homonym Christian Robert:]
Post-Doctoral Position in Data Science and Machine Learning
Chair Data Analytics and Models for Insurance – 2018–2020
DAMI is a research chair funded by BNP Paribas Cardif, and is interested in problems related to Data Science and Models for Insurance.
Description
A post-doctoral fellowship in the areas of data science and machine learning is available at the DAMI research chair at the Claude Bernard Lyon 1 University. The post-doctoral fellow, in collaboration with the industry partner, will conduct research of advanced analytics and machine learning algorithms for actuarial sciences and insurance, and in particular, for improving risk-based pricing, and for developing predictive analytics.
The position is for one year (possibly two years), starting in September/October 2018.
Required Professional Expertise
– A recent PhD (received within the past 5 years) in Computer Science, Computer Engineering, Applied Statistics and Mathematics, or related fields.
– Excellent research capabilities and competitive development skills
– Strong knowledge/expertise in machine learning and data analytics including data pre-processing, model building, and model evaluation
– Experience with Python and/or R
Interested candidates are invited to submit their CV, list of publications, and contact information of two references to Christian ROBERT at univ-lyon1.fr.
five postdoc positions in top UK universities & Bayesian health data science
Posted in Statistics with tags academic position, Bayesian data analysis, Bayesian statistics, Cambridge University, data science, EPSRC, health sciences, Lancaster University, postdoctoral position, research associate, University of Bristol, University of Oxford, University of Warwick, Warwick Data Science Institute on March 30, 2018 by xi'an
The EPSRC programme New Approaches to Bayesian Data Science: Tackling Challenges from the Health Sciences, directed by Paul Fearnhead, is offering five 3 or 4 year PDRA positions at the Universities of Bristol, Cambridge, Lancaster, Oxford, and Warwick. Here is the complete call:
Salary: £29,799 to £38,833
Closing Date: Thursday 26 April 2018
Interview Date: Friday 11 May 2018
We invite applications for Post-Doctoral Research Associates to join the New Approaches to Bayesian Data Science: Tackling Challenges from the Health Sciences programme. This is an exciting, cross-disciplinary research project that will develop new methods for Bayesian statistics that are fit-for-purpose to tackle contemporary Health Science challenges: such as real-time inference and prediction for large scale epidemics; or synthesizing information from distinct data sources for large scale studies such as the UK Biobank. Methodological challenges will be around making Bayesian methods scalable to big-data and robust to (unavoidable) model errors.
This £3M programme is funded by EPSRC, and brings together research groups from the Universities of Lancaster, Bristol, Cambridge, Oxford and Warwick. There is either a 4 or a 3 year position available at each of these five partner institutions.
You should have, or be close to completing, a PhD in Statistics or a related discipline. You will be experienced in one or more of the following areas: Bayesian statistics, computational statistics, statistical machine learning, statistical genetics, inference for epidemics. You will have demonstrated the ability to develop new statistical methodology. We are particularly keen to encourage applicants with strong computational skills, and are looking to put together a team of researchers with skills that cover theoretical, methodological and applied statistics. A demonstrable ability to produce academic writing of the highest publishable quality is essential.
Applicants must apply through Lancaster University’s website for the Lancaster, Oxford, Bristol and Warwick posts. Please ensure you state clearly which position or positions you wish to be considered for when applying. For applications to the MRC Biostatistics Unit, University of Cambridge vacancy please go to their website.
Candidates who are considering making an application are strongly encouraged to contact Professor Paul Fearnhead (p.fearnhead@lancaster.ac.uk), Sylvia Richardson (sylvia.richardson@mrc-bsu.cam.ac.uk), Christophe Andrieu (c.andrieu@bristol.ac.uk), Chris Holmes (c.holmes@stats.ox.ac.uk) or Gareth Roberts (Gareth.O.Roberts@warwick.ac.uk) to discuss the programme in greater detail.
We welcome applications from people in all diversity groups.
