The Centre for the Study of Existential Risk (CSER) invites applications 
for a Post-Doctoral Research Associate to work on safety challenges 
associated with increasingly general artificial intelligence systems.
Research efforts are being devoted globally to developing artificial 
intelligence systems with greater generality: an ability to function 
effectively in a wider range of environments, and to solve a broader 
range of tasks. Looking ahead, there are likely to be areas of 
scientific and intellectual progress that will require the types of 
planning, abstract reasoning, and meaningful understanding of the world 
that we associate with general intelligence in humans and animals. A key 
question is whether systems with a greater degree of generality may have 
different risks and unknowns in comparison to the more specialised, 
constrained systems we are used to.
The Associate will contribute to and lead technical research on topics 
including: use of resources, performance on tasks requiring general 
intelligence, and rates of progress in artificial intelligence. The 
research will link to the growing body of work on different aspects of 
AI safety, with the aim of better understanding the links between the 
capability, generality and safety of AI systems.
As well as producing targeted research outputs within these areas, the 
Research Associate will collaborate on project organisation, and will 
build collaborations with world-leading partners in academia and 
industry, building on existing connections between CSER, the Leverhulme 
Centre for the Future of Intelligence and research groups at Cambridge, 
Oxford, Imperial, OpenAI, the Partnership on AI and others. This is an 
exciting opportunity for a talented researcher to engage in a 
cutting-edge research programme and to develop their own lines of enquiry.
Applicants must have:
- A PhD in a relevant field or professional experience in a relevant 
research area commensurate with the requirements of the role.
- Expertise relevant to the focus area.
- The ability to engage with scientific literature ranging from 
AI/machine learning, to AI safety, to performance measurement and testing.
- Evidence of ability to work in collaborative environments, and the 
ability to engage with diverse communities of experts.
- Excellent written and oral communication and presentation skills.
- Evidence of a serious research interest in the research foci of the 
Centre.
Fixed term: Funding for this post is available for two years in the 
first instance
The University actively supports equality, diversity and inclusion and 
encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are 
eligible to live and work in the UK.
Deadline for applications: August 26, 2019.
More information and application procedure at: 
https://www.jobs.cam.ac.uk/job/22457/
Project information: https://www.cser.ac.uk/research/paradigms-AGI/
Open Position: Research Associate in Paradigms of Artificial General Intelligence and Their Associated Risk, University of Cambridge
                                gan Ute Schmid - 
                        
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