The CMI (Cambridge Mathematics of Information), based at the Faculty of Mathematics of the University of Cambridge, invites applications to the course which includes fully funded studentships.
This cutting-edge training centre in the Mathematics of Information will produce a new generation of leaders in the theory and practice of modern data science, with an emphasis on the mathematical underpinnings of this new scientific field. The programme will continue activities of CCIMI as well as those of CCA, with significant new components.
We welcome applications from students interested in subject areas covering all aspects of the broad field of mathematics of information. Potential supervisors are listed on the website. Prospective students are encouraged to discuss areas of interest relating to the course with potential supervisors. Current projects (via CCIMI) can be viewed on the website.
PhD Studentships are fully funded to include University Composition Fees and maintenance for the duration of the course to match the UKRI (previously RCUK) minimum level, and the scheme is open to nationals from all countries.
▸ To find out more: www.maths.cam.ac.uk/cmi or email firstname.lastname@example.org.
Do you want to work on technical means that facilitate better data security, privacy, trust, audit, explainability, management and control in ML/automated systems and the Internet of Things?
We’re looking for two researchers (postdocs or assistants) who are keen to explore such issues, and have a broader interest in the societal impacts of technology.
The roles involve collaborating on a range of academic projects, and driving research directions. One role is more systems/security engineering oriented, the other to focus on issues regarding the management data, analytics, automation and ML.
The positions are part of the “Compliant & Accountable Systems group”, in the Dept. of Computer Science & Technology, University of Cambridge. The team is interdisciplinary, researching how to better align technology with legal concerns (and vice-versa).
▸ To find out more, please contact Jat Singh (http://www.cst.cam.ac.uk/~js573).
One research assistant or associate post is available in the Drosophila connectomics group headed by Greg Jefferis and Matthias Landgraf. The position is funded by a £3.25M Wellcome Trust award to the Department of Zoology. Preferred start date is 25th February 2019 or as soon as possible.
We are looking for a computational neurobiologist to:
You must be a highly motivated individual with a strong quantitative background and research experience in a relevant area (image analysis, network analysis, or neuroscience), with significant programming experience in scripting and high performance languages and databases (e.g. R or Python, C++ or Java, PostgreSQL). Demonstrated ability to write well documented code is highly desirable.
The position will involve collaborative work across the project PIs, but particularly linked to the research group of Greg Jefferis (MRC LMB). We will introduce you to existing software, develop your research skills and scientific independence and are happy to mentor individuals from different backgrounds. You will be expected to contribute directly to scientific publications and to present your work at conferences.
This is an opportunity to develop key analytic approaches to leverage large scale connectomics data in a model system that is having a major impact on circuit neuroscience.
▸ More details at: http://www.jobs.cam.ac.uk/job/19966/ (closing date: 23 Jan 2019)
An exciting opportunity has arisen to join our high-profile machine learning research team which is helping to shape the future of insurance through cutting-edge data science. The insurance industry is evolving in an age of rapid technological development, and as an organisation Aviva are investing in strengthening machine learning as a distinctive capability. The team is recognised as a centre of excellence in our Global Data Science Department - providing new data-driven insights that improve decision making across the Aviva Group.
The role will have an R&D focus, looking for creative and innovative ways we can utilise our extensive big data assets together with the latest machine learning techniques to improve our predictive modelling capability in Insurance Pricing. As well as contributing to the R&D agenda, the role will involve working closely with a variety of internal and external stakeholders, ensuring the alignment of priorities and maximising the usage of our insights.
Desirable technical skills
What will you get for this role?
▸ Applications should be made through the Aviva Careers website (https://www.aviva.com/careers/job-search/) , LinkedIn, or if there are any queries please contact Anna Dalglish (email@example.com). Internal Ref: R-63527.
Are you interested in leveraging your analytical prowess to help tackle strategic challenges and opportunities? An exciting opportunity has arisen to join our R&D team which is helping to shape the future of insurance pricing through cutting-edge predictive analytics. The team is recognised as a centre of excellence - providing analytical insights that improve decision making and performance within Aviva. We are looking for data scientists capable of utilising the latest statistical modelling and machine learning techniques to improve insurance Pricing.
The insurance industry is evolving in an age of rapid technological development, and as an organisation Aviva are investing in strengthening R&D analytics as a distinctive capability. The successful candidate will join a team who is responsible for maintaining the competitiveness of our predictive models in insurance Pricing. Building on our existing industry-leading GLM framework and unparalleled customer database, the team objective is to add-value through the integration of both new data sources (including Big Data) and the application the latest machine learning techniques. As well as contributing to the R&D agenda, the role will involve working closely with a variety of internal and external stakeholders, ensuring the alignment of priorities and maximising the usage of our insights.
Desirable Technical Skills
Desirable Personal Skills
▸ Applications should be made through the Aviva Careers website (https://www.aviva.com/careers/job-search/) , LinkedIn, or if there are any queries please contact Anna Dalglish (firstname.lastname@example.org). Internal Ref: R-74513.