<div dir="ltr"><span id="inbox-inbox-docs-internal-guid-5103500e-1ffa-824a-697e-c4018fcf98b1"><p class="inbox-inbox-p1">The Frank and Serre labs at Brown university are seeking applicants for the Paul J. Salem Postdoctoral Scholarships in Brain Science. The postdoctoral fellow will lead an exciting new project at the interface between machine learning and neuroscience. In particular, we are looking for computational neuroscience and machine learning experts interested in the intersection between vision, memory and reinforcement learning. Relevant projects in the two groups can be seen in the following example works:</p><ul class="inbox-inbox-ul1">
<li class="inbox-inbox-li1"><span class="inbox-inbox-s1">Franklin, N.T. & Frank, M.J. (2018). Compositional clustering in task structure learning. <i>PLOS Computational Biology, 14(4): e1006116</i>. <a href="http://ski.clps.brown.edu/papers/FranklinFrank_Compositional18.pdf">http://ski.clps.brown.edu/papers/FranklinFrank_Compositional18.pdf</a><br>
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<li class="inbox-inbox-li1"><span class="inbox-inbox-s1">Nassar, M.R., Helmers, J. & Frank, M.J. (2018). Chunking as a rational strategy for lossy data compression in visual working memory. <i>Psychological Review</i>. <a href="http://ski.clps.brown.edu/papers/NassarHelmersFrank_chunking.pdf">http://ski.clps.brown.edu/papers/NassarHelmersFrank_chunking.pdf</a><br>
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<li class="inbox-inbox-li1"><span class="inbox-inbox-s1">Drew Linsley, Junkyung Kim, Vijay Veerabadran, Thomas Serre. Learning long-range spatial dependencies with horizontal gated-recurrent units. 2018 <a href="https://arxiv.org/abs/1805.08315v1">https://arxiv.org/abs/1805.08315v1</a><br>
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<li class="inbox-inbox-li1"><span class="inbox-inbox-s2"></span><span class="inbox-inbox-s3">Drew Linsley, Dan Scheibler, Sven Eberhardt, Thomas Serre. Global-and-local attention networks for visual recognition. 2018 <a href="https://arxiv.org/abs/1805.08819v1">https://arxiv.org/abs/1805.08819v1</a></span></li></ul><p class="inbox-inbox-p1"><span class="inbox-inbox-s1">Candidates are expected to have a solid background in one or more of the following domains: modern machine learning, computational models of neural dynamics underlying perceptual or cognitive processes, signal processing. In addition, to conducting primary research with neural networks, candidates will be involved in the mentoring of students, and will participate in workshops and challenges at the interface between machine learning and neuroscience (see e.g., <a href="http://compneuro.clps.brown.edu/datathon_2017/"><span class="inbox-inbox-s5">http://compneuro.clps.brown.edu/datathon_2017/</span></a> and <a href="http://compneuro.clps.brown.edu/2018-modeling-competition/"><span class="inbox-inbox-s5">http://compneuro.clps.brown.edu/2018-modeling-competition/</span></a>). </span></p><p class="inbox-inbox-p1"><span class="inbox-inbox-s1">The initial appointment is for 12 months, renewable for another year, and potentially longer depending on funding. The start date is negotiable though an early start is strongly preferred. Salary is commensurate with experience and is competitive. We encourage Salem Scholars to seek external funding during their appointment, as a critical component in their professional development.<span class="inbox-inbox-Apple-converted-space"> </span></span></p><p class="inbox-inbox-p1"><span class="inbox-inbox-s1"><b>Requirements:</b></span></p><p class="inbox-inbox-p1"><span class="inbox-inbox-s1">Candidates must have received their PhDs within 3 years of the application deadline, and will work under the supervision of Drs Frank and Serre who are affiliated with the Carney Initiative for Computation in Brain and Mind. They must have a strong background in computational neuroscience and machine learning, with a track record of relevant publications at top venues (such as NIPS, ICML, PLOS Computational Biology, etc). Excellent programming skills are required (e.g., C/C++/Matlab/Python/R).<span class="inbox-inbox-Apple-converted-space"> </span></span></p><p class="inbox-inbox-p2"><b>Application:</b><br><span class="inbox-inbox-s1"></span></p><p class="inbox-inbox-p1"><span class="inbox-inbox-s1">Please send your applications by email to <a href="mailto:michael_frank@brown.edu">michael_frank@brown.edu</a> <a href="mailto:thomas_serre@brown.edu">thomas_serre@brown.edu</a>. Please include a brief statement of interests, a curriculum vita, a list of publications and the name of 2-3 reference writers (no letter needed at this stage). There is no deadline for the application but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found.</span></p><p class="inbox-inbox-p1"><span class="inbox-inbox-s1"><b>The Carney Initiative for Computation in Brain and Mind (CICBM;</b><a href="http://compneuro.clps.brown.edu/"><b> </b><span class="inbox-inbox-s5">http://compneuro.clps.brown.edu</span></a>), which began Fall 2013 as a component of BIBS, is an energetic and enthusiastic effort that fosters synergistic collaborations across departments. Groups affiliated with the initiative work on two core levels of computation. The first level focuses on theoretical neuroscience, including computational perception, control over action and learning, and fundamental questions in neuronal networks (synaptic plasticity, circuits, networks, oscillations). The second level focuses on applications and neurotechnology, including brain-machine interfaces, advanced neural data analysis, computer vision, computational psychiatry, and robotics. CICBM has 16 core computational faculty (<a href="http://compneuro.clps.brown.edu/people/"><span class="inbox-inbox-s5">http://compneuro.clps.brown.edu/people/</span></a>) spanning six departments, and many more faculty who incorporate computation for theory development, analysis, or both. Computational neuroscience tools at Brown have been applied in projects including brain-machine control of robotic arms in paralyzed humans; models of visual systems in biological organisms and their innovative application for classifying animal behavioral patterns; predicting and quantifying effects of genetics, disease, medications, and brain stimulation on motor and cognitive function; identification of the source of neural rhythms and their roles in sensorimotor function; development of fundamental theories of brain plasticity, and learning; state-of-the art models of machine learning and reinforcement learning in computer science.<span class="inbox-inbox-Apple-converted-space"> </span></span></p><p dir="ltr" style="line-height:1.2;margin-top:6pt;margin-bottom:6pt">
</p><p class="inbox-inbox-p1"><span class="inbox-inbox-s1">The Carney Institute for Brain Science at Brown University advances multidisciplinary research, technology development, and training in the brain sciences and works to establish Brown University as an internationally recognized leader in brain research. The institute was just endowed with a new $100 million gift. CIBS unites more than 100 faculty from a diverse group of departments at Brown, spanning basic and clinical departments, and physical and biological sciences. CIBS provides a mechanism to advance interdisciplinary research efforts among this broad group. CIBS provides<span class="inbox-inbox-Apple-converted-space"> </span>essential support to obtain and administer multi-investigator grants for research, infrastructure, and training. The Institute actively seeks new training funds to support interdisciplinary education that transcends that available in individual academic departments.</span></p></span></div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div>Thomas Serre | GMT -5:00 EDT | T: +1 401-484-0750 </div><div>Associate Professor of Cog Ling & Psych Sciences | Brown University</div><div>URL: <span style="color:rgb(68,68,68);font-family:Roboto,Helvetica,Arial,sans-serif"><a href="http://serre-lab.clps.brown.edu">goo.gl/G69SaF</a></span> | Google Talk: tserre | Skype: thomas.serre</div><div><br></div></div></div>