Jobid=99994e648bde (0.0142)
ph3Job Description /h3 pMagnetic Resonance Imaging (MRI) is central to modern diagnostics, offering rich contrast in soft tissues and extensive clinical utility. However, a key limitation remains: the long scan times, often 30–40 minutes per patient, due to the weak and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities, patient motion, and more. Today, these parameters are either manually configured, heuristically optimized, or compensated post hoc using multi-level calibration scans or corrections, which introduces further latency. Crucially, current MRI systems lack any form of predictive intelligence that could inform optimal configuration ahead of, or during scanning. /p pThe Computer Engineering (CE) Section Of The Quantum Computer Engineering (QCE) Department Is looking for a highly motivated PhD candidate to develop AI-based solutions for predictive intelligence for MRI scanning. The PhD position is part of the Z‑MRI, a national project in collaboration with Philips Medical Systems. /p h3Responsibilities /h3 ul liDesign an efficient multi‑level data acquisition, transport, and synchronization digital infrastructure focusing on overall phase‑coherent operation of the MRI appliance. /li liDevelop real‑time system reconfiguration support using static and dynamic techniques to enable rapid conversion to the most optimal configuration for any specific patient‑centric scan scenario. /li liDevelop a novel self‑calibrating, heterogeneous distributed platform capable of providing the necessary sensing, transport, compute, and data aggregation capabilities on demand; translate partial MRI measurements into meaningful input for predicting optimal sensor phase configurations and feedback control. /li liIdentify pathways toward integration of domain knowledge about MRI physics into the platform design. /li liDevelop concrete solutions to address issues related to integration in existing medical procedures. /li /ul h3Qualifications /h3 ul liCompleted a relevant MSc degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. /li liGood understanding of computer architecture and digital design. /li liBasic understanding of MRI algorithms is a plus. /li liAbility to work in a team and take initiative. /li /ul h3Benefits and Working Conditions /h3 ul liDoctoral candidates will be offered a 4‑year period of employment, typically in two contracts: an initial 1.5‑year contract with a 15‑month progress assessment, followed by a 2.5‑year contract contingent on performance. /li liSalary in accordance with the Collective Labour Agreement for Dutch Universities, ranging from €3,059 to €3,881 gross per month (first to fourth year) for a full‑time contract (38 hours), plus 8% holiday allowance and an end‑of‑year bonus of 8.3%. /li liBenefits include compensation package adjustment, discounts on health insurance, monthly work‑costs contribution, and flexible work schedules. /li liRelocation support: the HR unit offers information and events to help relocate to the Netherlands and expand social networks; a Dual Career Programme is available to support accompanying partners. /li /ul h3Application Procedure /h3 ul liCV /li li1‑page motivation letter tailored to the position /li liSelected publications demonstrating writing and scientific skills /li /ul pSubmit your application via the online application button no later than 15 April 2026. All applications must be submitted online; applications sent by email or postal mail will not be processed. /p h3Contact /h3 pQuestions about the vacancy or selection procedure can be directed to Prof. Dr. Ir. Georgi Gaydadjiev ( ) and Dr. Ir. Motta Taouil ( ). /p /p #J-18808-Ljbffr
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