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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span lang="EN-US" style="font-size:12.0pt">Dear Connectionists,<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:#007A78;mso-fareast-language:EN-GB">Research Fellow in Bio-Inspired Artificial Intelligence and Robotics at the
University of Sussex</span><o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-family:"Arial",sans-serif;color:black;mso-fareast-language:EN-GB">Are you a talented and ambitious computer scientist, computational neuroscientist or machine
learner? Are you looking for an opportunity to use cutting edge technology to gain new understanding of how small-brained insects learn so rapidly and robustly, and in turn develop novel active AI algorithms that are inspired by these insights? We have an
opportunity for a Research Fellow to join the </span><span style="font-family:"Arial",sans-serif"><a href="http://brainsonboard.co.uk/"><span style="color:#D3273E;mso-fareast-language:EN-GB">Brains on Board</span></a></span><span style="font-family:"Arial",sans-serif;color:black;mso-fareast-language:EN-GB"> team
at the Department of Informatics at the University of Sussex to join a collaboration with the University of Sheffield and world-leading neuroscientists in Australia through the EPSRC-funded ActiveAI project: active learning and selective attention for rapid,
robust and efficient AI.</span><o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-family:"Arial",sans-serif;color:black;mso-fareast-language:EN-GB">You will develop a new class of ActiveAI controllers for problems in which insects excel but
deep learning methods struggle. These problems have one or more of the following characteristics: (i) learning must occur rapidly, (ii) learning samples are few or costly, (iii) computational resources are limited, and (iv) the problem changes over time. Insects
deal with such complex tasks robustly despite limited computational power because learning is an active process emerging from the interaction of evolved brains, bodies and behaviours. Through a virtuous cycle of modelling and experiments, you will develop
insect-inspired models, in which behavioural strategies and specialised sensors actively structure sensory input while selective attention drives learning to the most salient information. This will be achieved through extended visits to Australia, in which
you will interact with biologists and shape novel insect experiments that in turn will inspire computational and robotic models and novel algorithms. In this way, we will both advance neuroscience and enable ActiveAI solutions which will be efficient in final
network configuration, robust to real-world conditions and learn rapidly.</span><o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-family:"Arial",sans-serif;color:black;mso-fareast-language:EN-GB">This project includes significant scope for you to creatively shape and drive the project to
your interests and to organise the timing and length of your visits to Australia. You will work under the supervision of Professors Andrew Philippides, Thomas Nowotny and Paul Graham at Sussex as well as the wider Brains on Board team and, together with a
partner research fellow at Sheffield University, you will lead a new collaboration with world-leading Australian research partners through extended secondments.</span><o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><b><span style="font-family:"Arial",sans-serif;color:black;mso-fareast-language:EN-GB">Closing date</span></b><span style="font-family:"Arial",sans-serif;color:black;mso-fareast-language:EN-GB">: midnight
UK BST, 23 September 2019. </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:black;mso-fareast-language:EN-GB">For full details see:</span><span style="font-family:"Arial",sans-serif">
<a href="https://www.sussex.ac.uk/about/jobs/rf-artifical-intellience-robotics-2091">
https://www.sussex.ac.uk/about/jobs/rf-artifical-intellience-robotics-2091</a></span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><span lang="EN-US" style="font-size:12.0pt">-- <o:p></o:p></span></p>
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<p class="MsoNormal"><span lang="EN-US" style="font-size:12.0pt">Prof Thomas Nowotny<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:12.0pt">Director of Research and Knowledge Exchange<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:12.0pt">School of Engineering and Informatics<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:12.0pt">University of Sussex<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:12.0pt">Falmer, Brighton BN1 9QJ, UK<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:12.0pt">Phone: +441273678593<o:p></o:p></span></p>
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<p class="MsoNormal"><span lang="EN-US" style="font-size:12.0pt">FAX: +441273877873</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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