The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence. The Institute is named in honour of the scientist Alan Turing and its mission is to make great leaps in data science and artificial intelligence research in order to change the world for the better.
We are seeking up to two Researchers who will be part of a team of top Bayesian, decision theory and causal inference academics, and be based at The Alan Turing Institute. The research team includes, Anjali Mazumder (co-PI), Amy Wilson (co-PI), Jim Smith (Warwick), Philip Dawid (Cambridge), Henry Wynn (LSE), and colleagues across Europe and the US. Researchers will meet regularly with the research team and should expect to engage with domain experts.
The evaluation of forensic evidence often involves complex scenarios consisting of more than one evidence type, each with an associated uncertainty, and a hierarchy of propositions to be addressed. Data to calculate probabilities can be limited as case circumstances are often unique and propose multiple causal and decision-making pathways.
DUTIES AND RESPONSIBILITIES
If you are interested in this opportunity, click the apply button below. For more information about the role and a full job description and job specification please visit the Alan Turing Institute career page.
Closing date for applications: 16 May 2019Continue reading
|Title||Research Associates – Evaluating Complex Forensic Evidence (Bayesian Methodology/Causal Bayesian Inference)|
|Employer||The Alan Turing Institute|
|Job location||British Library, 96 Euston Road, London NW1 2DB, UK, NW1 2DB London|
|Published||April 1, 2019|
|Application deadline||May 16, 2019|
|Job type||Postdoc  |
|Fields||Algebra,   Statistics,   Applied Mathematics,   Probability Theory,   Forensic Science,   Computational Mathematics,   Machine Learning  |