We are seeking a Senior Research Associate with interests in flooding, climate, statistics and machine learning. The postholder will be responsible for developing a seamless, data-driven predictive system to quantify changing flood properties from the past through to the future, using a range of climate model outputs and other predictors. They will be responsible for leading and co-authoring papers and presenting the research internationally. A relevant PhD/DPhil, together with post-qualification research experience in predictive modelling, machine learning, statistics, hydrology, or climatology is essential, along with a strong publication record and familiarity with the existing literature and research in the field. The successful candidate will also possess strong coding skills in R or Python (not Matlab) with experience developing predictive models.

Fixed term contract until 1 March 2021 The Royal College of Art is the UK's only entirely postgraduate art and design university. In 2018/19 the College will have some 2,300 students registered for MA, MRes, MPhil and PhD degrees and over 450 permanent academic, technical and administrative staff, with more than 1,000 visiting lecturers and professors. The RCA Robotics Laboratory, recently established and directed by RCA's Academic Leader in Robotics, Dr Sina Sareh, develops new bioinspired technologies for robot mobility, manipulation and attachment in unstructured and extreme environments through funded projects by EPSRC, Innovate UK and industrial partners. Following the Royal College of Art's Strategic Plan 2016-2021, the lab is intended to create significant research and education capacity in robotics by 2020, to support the RCA's ambitious expansion plans in Battersea South including a new robotics facility and new research centres - the most radical transformation of the institution's campus in its 181-year history. Through the Innovate UK's "Robotics and AI: Inspect, Maintain and Repair in Extreme Environments" funding scheme, a research project grant entitled Multi-Platform Inspection, Maintenance & Repair in Extreme Environments (MIMRee) has been awarded to the RCA.

Aliens may look like giant jellyfish with orange bottoms, a leading space scientist has claimed. Maggie Aderin-Pocock, a satellite expert and government adviser, said it is likely that there is extra-terrestrial life - it is just more alien than you'd imagine. Rather than being the little green men so beloved of Hollywood directors, they may look like football-field sized jellyfish, complete with onion-shaped appendages and an orange underbelly or bottom. Generated from silicon, rather than the carbon that is the basis of life as we know it, the creatures are able to live off light absorbed through their'skin' and chemicals sucked in through their giant mouths. In physical terms, for example, wings and eyes have independently emerged among animals through evolution at several different times over, and birds in ecologically isolated New Zealand have evolved behaviours typically seen in mammals elsewhere.

The Robotics Project (the "Hand-Eye Project") evolved within the Stanford Artificial Intelligence Laboratory under the guidance of John McCarthy, Les Earnest, Jerry Feldman, and Tom Binford. Major efforts have been undertaken to isolate and solve fundamental problems in computer vision, manipulation, and autonomous vehicles. Generalized cones were introduced for modeling the geometry of 3-dimensional objects, and programs were constructed which learned structural descriptions of objects from laser-ranging data ("structured light"). Stereo vision and texture have been examined. Several generations of robot programming languages have resulted in AL, an intermediate-level language for commanding manipulation. A computer-controlled roving vehicle ("the cart") detected obstacles (using 9-eyed stereo) and planned paths to avoid them.