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<span style="color: rgb(36, 36, 36); font-family: Calibri, sans-serif; font-size: 11pt;">Dear Connectionists,</span></div>
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<span style="font-size: 11pt;">We are looking for two post-doctoral research fellows to join our team working on bio-inspired AI and robotics at the University of Sussex which will suit people with a range of backgrounds (from robotics, through computational
 neuroscience to Artificial Life). Deadline 22</span><span style="font-size: 11pt;"><sup class="x_ContentPasted0">nd</sup></span><span class="x_ContentPasted0" style="font-size: 11pt;"> </span><span style="font-size: 11pt;">November. </span></p>
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<span style="font-size: 11pt;">You will develop novel active AI algorithms that are inspired by the rapid and robust learning of insects within the. £1.2m EPSRC International Centre to Centre Collaboration project: “ActiveAI: active learning and selective attention
 for rapid, robust and efficient AI.” and will work in collaboration with the University of Sheffield and world-leading neuroscientists in Australia. Detailed information and how to apply can be found here:</span></p>
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<a href="https://www.sussex.ac.uk/about/jobs/research-fellow-in-bio-inspired-ai-rob-ref-10131" data-auth="NotApplicable" data-safelink="true" data-linkindex="0" class="x_ContentPasted0" style="margin:0px; color:rgb(5,99,193); text-decoration:underline"><span style="font-size: 11pt;">https://www.sussex.ac.uk/about/jobs/research-fellow-in-bio-inspired-ai-rob-ref-10131</span></a><br class="x_ContentPasted0">
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<a href="https://www.sussex.ac.uk/about/jobs/research-fellow-in-bio-inspired-ai-rob-ref-10128" data-auth="NotApplicable" data-safelink="true" data-linkindex="1" class="x_ContentPasted0" style="margin:0px; color:rgb(5,99,193); text-decoration:underline"><span style="font-size: 11pt;">https://www.sussex.ac.uk/about/jobs/research-fellow-in-bio-inspired-ai-rob-ref-10128</span></a><br class="x_ContentPasted0">
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<span style="font-size: 11pt;">Your primary role will be to 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 learning 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. The cycle of modelling and experiments will be achieved through field work in both Sussex and Australia.</span><br class="x_ContentPasted0">
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<span style="font-size: 11pt;">You will work under the supervision of Professors Andrew Philippides, Thomas Nowotny and Paul Graham within the Department of Informatics at Sussex and will join an active team of research fellows and PhD students working on similar
 topics at Sussex. Please contact Andrew Philippides (</span><a href="mailto:andrewop@sussex.ac.uk" data-auth="NotApplicable" data-safelink="true" data-linkindex="2" class="x_ContentPasted0" style="margin:0px; color:rgb(5,99,193); text-decoration:underline"><span style="font-size: 11pt;">andrewop@sussex.ac.uk</span></a><span style="font-size: 11pt;">)
 for informal enquiries</span></p>
<span style="font-size: 11pt;">Kind regards,</span></div>
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<span style="font-size: 11pt;">Thomas Nowotny</span></div>
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<div style="font-family:Tahoma; font-size:13px"><font size="2"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">--</span></font></div>
<div style="font-family:Tahoma; font-size:13px"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Prof. Thomas Nowotny         </span><font size="2"><span style="font-size:10pt"><br>
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<div style="font-family:Tahoma; font-size:13px"><font size="2"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">Head of AI Research Group</span></font></div>
<div style="font-family:Tahoma; font-size:13px"><font size="2"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">CCNR, Sussex Neuroscience             Phone: +44-1273-678593</span><span style="font-size:10pt"><br>
</span><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">Engineering and Informatics,                Fax: +44-1273-877873</span><span style="font-size:10pt"><br>
</span><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">University of Sussex,</span><span style="font-size:10pt"><br>
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<div style="font-family:Tahoma; font-size:13px" class="elementToProof"><font size="2"><span style="font-size:10pt"></span><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">Falmer, Brighton BN1 9QJ     
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 support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic.  Small acts of collaboration, kindness and integrity can make a big difference. </span><span style="color:rgb(32,32,32); font-family:Helvetica; font-size:16px; background-color:rgb(255,255,255); display:inline!important"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"> </span></span><span style="font-family:Calibri,Helvetica,sans-serif; font-size:12pt; color:rgb(12,100,192)"><a href="http://www.sussex.ac.uk/community-pledge" data-auth="NotApplicable"><span style="font-size: 11pt;">www.sussex.ac.uk/community-pledge</span></a></span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(12, 100, 192);"> </span></span></font><font size="2"><span style="font-size:10pt"><br>
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