[Forum SIS] Post-doc position in “Evaluation of Complex Forensic Evidence”

[Julia Mortera]

JOB: Research Associate – Evaluating Complex Forensic Evidence (Turing)
 The Role
We are seeking up to two full-time post-doctoral Research Associates (RAs) to work on the Turing Project “Evaluation of Complex Forensic Evidence”. Researchers 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. This means that each case might have different sets of relevant information affecting the dependence relationship between measured and unobserved variables or events. The sensitive nature and individuality of cases often means that there is limited population and experimental data due to practical and ethical issues. This project aims to draw upon real cases to determine the multiple statistical issues and complex data structures to develop a framework for the evaluation of complex evidence.
Each role will have specific goals but will also complement each other and work jointly towards:
- Developing a coherent, systematic, and probabilistic framework for planning, inference, and interpretation of complex cases that accounts for multiple types of evidence, addresses different proposition levels and incorporates expert judgement and multiple sources of uncertainty.
- Developing statistical methods (including probabilistic graph structures) to address the computational complexities of combining different graph modular substructures, model evidence conflict (model selection), and facilitate the case circumstances and time or sequence of events.
 Company description
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.
 Closing date for applications: 16 May 2019
Terms and conditions
Fixed term contract 2.5 years
Annual salary 34,000-41,000 depending on skills and experience
 For more details and to apply, see the following link:
https://cezanneondemand.intervieweb.it/turing/jobs/research_associates__evaluating_complex_forensic_evidence_bayesian_methodologycausal_bayesian_inference_5699/en/

--
J. Mortera, Professor of Statistics, Università Roma Tre
E-mail:    julia[dot]mortera[at]uniroma3.it
Web page:https://juliamortera.wordpress.com/
         http://tinyurl.com/ztj6ked
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.stat.unipg.it/pipermail/sis/attachments/20190430/84830b1e/attachment-0001.html>