<div dir="ltr"><div dir="ltr"><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">Dear All,</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif"> </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif;color:rgb(32,33,36)">Apologies for cross<span style="caret-color: rgb(32, 33, 36);">-</span>posting</span><span style="font-family:Arial,sans-serif">. We are seeking a motivated and creative postdoctoral researcher to join us on a human-robot interaction project with the Department of Engineering, King’s College London, UK. The main objective of the project is to set the basis for the next generation of robots that will be able to learn how to interact with humans from video data only. The candidate will research novel methods in the areas of machine learning and human-robot interaction. If you know any strong candidates for this project, I would be grateful for your passing it on to them.<span></span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif"> </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">Start date: 1 March 2021, or soon after <br>Project duration: 2 years </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">Location: Strand Campus, London, UK</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif"> </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">How to apply: <a href="https://jobs.kcl.ac.uk/gb/en/job/011984/Research-Associate-in-the-Department-of-Engineering" style="color:rgb(149,79,114)">https://jobs.kcl.ac.uk/gb/en/job/011984/Research-Associate-in-the-Department-of-Engineering</a></span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">Closing date: 15 January 2021 </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">Contact: Oya Celiktutan, <a href="mailto:name.surname@kcl.ac.uk">name.surname@kcl.ac.uk</a></span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif"> </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">Please find more information below =====. </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif"> </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">With many thanks & regards,</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">Oya</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif"><br>=====</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">An exciting Postdoctoral Research Associate position is available at the Department of Engineering, King’s College London to develop novel algorithms for learning the principles of human-human interaction autonomously from video data and integrating such models into the perception and control of humanoid robots. The main objective of the project is to set the basis for the next generation of robots that will be able to learn how to act in concert with humans by watching human-human interactions. The desired start date of the post is on the 1 March 2021, or soon after. </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span> </span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">The candidate will become a member of the Centre for Robotics Research (CORE), an excellent environment with state-of-the-art laboratories. CORE brings together specialised expertise in sensing, manipulation, machine learning, and intelligent control to develop world-leading solutions to society’s most critical challenges. Please see <a href="https://www.kcl.ac.uk/research/core" style="color:rgb(149,79,114)">https://www.kcl.ac.uk/research/core</a>. </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif"> </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">The candidate will contribute to ongoing research activities at the Social AI & Robotics laboratory (<a href="https://sairlab.github.io/" style="color:rgb(149,79,114)">https://sairlab.github.io</a>) in the areas of computer vision, machine learning and human-robot interaction and will be closely working with Dr Oya Celiktutan and her team, as well as her academic collaborators in the fields of natural language processing, education and psychology and the project partner SoftBank Robotics Europe. Please see <a href="https://sairlab.github.io/projects/grants/lisi/index.html" style="color:rgb(149,79,114)">https://sairlab.github.io/projects/grants/lisi/index.html</a>.</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif"> </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">The candidate should possess a PhD, or be near completion, in Engineering, Computer Science, or related field. They should have a strong research record in machine learning, with specialisation in one or more of the following areas: human-robot interaction, computer vision, deep learning, self-supervised/unsupervised learning, reinforcement learning, and/or human behaviour analysis and synthesis, as evidenced by publications in top-tier journals and/or conferences. </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif"> </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">The candidate should be motivated and creative about designing and implementing novel algorithms by taking into account the project’s aim. They should have excellent programming skills and should be competent to effectively integrate various systems such as robots and external sensors to run experiments. They should be willing to lead high-quality publications and work as part of a team. </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif"> </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">Essential criteria include: </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">- PhD degree (or shortly expect to receive) in Engineering, Computer Science, Robotics, or related field.</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">- Strong background in machine learning, with specialisation in one or more of the following areas: human-robot interaction, human-human interaction, computer vision, deep learning, self-supervised/unsupervised learning, reinforcement learning, and/or human behaviour analysis and synthesis.</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">- Excellent publication record in top-tier journals and/or conference proceedings, such as IEEE, ACM, CVF, RSJ, Springer, and Elsevier.</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">- Excellent programming skills, particularly, Python and/or C/C++. Hands-on experience with large-scale datasets, deep learning libraries (e.g., TensorFlow, PyTorch) and physical robots will be a plus.</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">- Excellent verbal and written communication skills.</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">- Excellent interpersonal / teamwork skills.</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">- Ability to organise and prioritise work to meet deadlines with minimal supervision.</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif"> </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif">When completing the online application, candidates should attach: </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif;color:rgb(34,34,34)">- CV with a full list of publications.</span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif;color:rgb(34,34,34)">- Two-page summary of research background and how their experience and research plans fit with the post.  </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif;color:rgb(34,34,34)">- One of their best papers (either published or accepted for publication) demonstrating expertise in the areas mentioned above. </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif;color:rgb(34,34,34)">- The expected date of graduation (if currently pursuing a PhD). </span><span></span></p><p class="MsoNormal" style="margin:0cm;font-family:"Times New Roman",serif;color:rgb(0,0,0)"><span style="font-family:Arial,sans-serif;color:rgb(34,34,34)">- Contact details of two referees.</span><font size="3"><span></span></font></p></div></div>