<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><h2 class=""><span class="" style="font-weight: normal; font-size: 14px;">A fully funded 4-year PhD researcher position is available immediately at the research group of Dr. Süleyman Er (<a href="http://www.suleymaner.com" class="">www.suleymaner.com</a>), Center for Computational Energy Research, Dutch Institute for Fundamental Energy Research, Eindhoven, the Netherlands.</span></h2><p class=""><span style="font-size: 14px;" class=""><span class="">The broad task of the project is to use machine-learning methods to predict the properties of new energy storage materials. </span>Different data science tools will be used to pick the best candidates from a large pool of studied molecules wrt their key properties, including their color coding. </span></p><p class=""><span style="font-size: 14px;" class="">We will consider applicants with a Master’s degree in Science or Engineering and good programming skills (Python, Shell scripting). Experience with machine learning frameworks (Keras, Tensor Flow) and electronic structure calculations is preferred.</span></p><p class=""><span class="" style="font-size: 14px;">For further details and to apply please see: <a href="https://www.differ.nl/node/3917" class="">https://www.differ.nl/node/3917</a></span></p>
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