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<span style="font-size: 11pt; font-family: Arial, sans-serif;">The Professorship of Digital Health at the
<span>Friedrich-Alexander University of Erlangen-Nuremberg</span>, invites applications for a fully funded doctoral candidate position (TV-L E13, 100%) at the intersection of computational neuroscience and artificial intelligence (AI).<o:p></o:p></span></p>
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<span style="font-size: 11pt; font-family: Arial, sans-serif;"><b style="font-family: Calibri, sans-serif; font-size: 16px; text-align: justify;"><span style="font-size: 11pt; font-family: Arial, sans-serif;">About</span></b><b style="font-family: Calibri, sans-serif; font-size: 16px; text-align: justify;"><span lang="EN-US" style="font-size: 11pt; font-family: Arial, sans-serif;">:</span></b><br>
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<span style="font-size: 11pt; font-family: Arial, sans-serif;">The doctoral candidate will develop AI-driven methods for digital phenotyping based on ubiquitous sensor data to continuously track behavioral and physiological changes. These insights will be integrated
with neuroimaging-informed, patient-specific computational models to inform steerable neurostimulation strategies. The goal is to optimize stimulation parameters across the patient’s longitudinal therapeutic journey, enabling personalized and responsive therapy
for neurological and psychiatric disorders.</span><span style="font-size: 11pt; font-family: Arial, sans-serif;"><o:p></o:p></span></p>
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<b><span style="font-size: 11pt; font-family: Arial, sans-serif;">Qualifications</span></b><b><span lang="EN-US" style="font-size: 11pt; font-family: Arial, sans-serif;">:<o:p></o:p></span></b></p>
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<span style="font-size: 11pt; font-family: Arial, sans-serif;">We are looking for a highly motivated candidate with the following qualifications:<o:p></o:p></span></p>
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<span style="font-size: 11pt; font-family: Arial, sans-serif;">Master’s degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field<o:p></o:p></span></li><li class="MsoNormal" style="margin: 0cm; font-size: 12pt; font-family: Calibri, sans-serif; text-align: justify;">
<span style="font-size: 11pt; font-family: Arial, sans-serif;">Strong programming skills (e.g., Python, MATLAB, R)<o:p></o:p></span></li><li class="MsoNormal" style="margin: 0cm; font-size: 12pt; font-family: Calibri, sans-serif; text-align: justify;">
<span style="font-size: 11pt; font-family: Arial, sans-serif;">Experience with machine learning and AI, ideally in health or behavioral domains<o:p></o:p></span></li><li class="MsoNormal" style="margin: 0cm; font-size: 12pt; font-family: Calibri, sans-serif; text-align: justify;">
<span style="font-size: 11pt; font-family: Arial, sans-serif;">Familiarity with ubiquitous/wearable sensor data (e.g., physiological monitoring, smartphone usage)<o:p></o:p></span></li><li class="MsoNormal" style="margin: 0cm; font-size: 12pt; font-family: Calibri, sans-serif; text-align: justify;">
<span style="font-size: 11pt; font-family: Arial, sans-serif;">Background in computational modeling of neural systems (e.g., NEURON, The Virtual Brain, Sim4Life)</span></li></ul>
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<b><span style="font-size: 11pt; font-family: Arial, sans-serif;">Application<o:p></o:p></span></b></p>
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<span style="font-size: 11pt; font-family: Arial, sans-serif;">Please send the following as a single PDF file:<o:p></o:p></span></p>
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<span style="font-size: 11pt; font-family: Arial, sans-serif;">A 1-page cover letter</span></li><li class="MsoNormal" style="margin: 0cm; font-size: 12pt; font-family: Calibri, sans-serif; text-align: justify; background-image: initial; background-">
<span style="font-size: 11pt; font-family: Arial, sans-serif;">Your CV<o:p></o:p></span></li><li class="MsoNormal" style="margin: 0cm; font-size: 12pt; font-family: Calibri, sans-serif; text-align: justify; background-image: initial; background-">
<span style="font-size: 11pt; font-family: Arial, sans-serif;">Academic transcript(s)<o:p></o:p></span></li><li class="MsoNormal" style="margin: 0cm; font-size: 12pt; font-family: Calibri, sans-serif; text-align: justify; background-image: initial; background-">
<span style="font-size: 11pt; font-family: Arial, sans-serif;">Contact information for two academic referees<o:p></o:p></span></li></ul>
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<span style="font-size: 11pt; font-family: Arial, sans-serif;">Submit your application to andreas.rowald@fau.de.</span></p>
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<span style="font-size: 11pt; font-family: Arial, sans-serif;">Best,</span></p>
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<span style="font-size: 11pt; font-family: Arial, sans-serif;">Andreas Rowald</span></p>
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<p style="font-size:12pt; margin:0cm; font-family:Aptos,sans-serif"><span lang="EN-US">Andreas Rowald, PhD</span></p>
<p style="font-size:12pt; margin:0cm; font-family:Aptos,sans-serif"><span lang="EN-US">Associate Professor<span class="Apple-converted-space"> for</span></span><span style="font-size:12pt"> Digital Health</span></p>
<p style="font-size:12pt; margin:0cm; font-family:Aptos,sans-serif"><span lang="EN-US"><span>Department of Medical Informatics, Biometry and Epidemiology</span></span></p>
<p style="font-size:12pt; margin:0cm; font-family:Aptos,sans-serif"><span lang="EN-US"><span><span>Department Artificial Intelligence in Biomedical Engineering</span><br>
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<p style="font-size:12pt; margin:0cm; font-family:Aptos,sans-serif">Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)<span lang="DE"></span></p>
<p style="font-size:12pt; margin:0cm; font-family:Aptos,sans-serif"><span lang="DE"><a href="https://www.pdh.med.fau.de/" style="color:rgb(0,134,240)" id="LPNoLP">https://www.pdh.med.fau.de/</a></span></p>
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