This PhD opportunity at Eindhoven University of Technology focuses on developing advanced multimodal sensor systems and AI-based analysis methods for objective olfactory assessment. Human olfaction plays a vital role in daily life, yet current clinical methods for assessing olfactory function are limited by their reliance on subjective patient reporting. This project aims to overcome these limitations by engineering a novel sensing and data-driven evaluation system capable of topographically mapping nasal sensory responses. The system will integrate controlled stimuli from an olfactometer and synchronously acquire multiple biosignals, including EEG, negative mucosal potential, and peak nasal inspiratory flow. These signals will be fused using an AI-based signal processing and modeling framework, incorporating patient-specific parameters such as age, sex, comorbidities, allergies, and smoking history to enable personalized and objective assessment.

The research will be validated in a clinical study investigating the effects of endoscopic endonasal skull base surgery on olfactory function, a context where postoperative smell loss varies significantly between patients. This makes it an ideal use case for advanced sensing, multimodal data fusion, and intelligent analysis. The project is highly interdisciplinary, situated at the interface of engineering and clinical research, and involves collaboration with clinicians, neuroscientists, and engineers.

Applicants should have a master’s degree in Electrical Engineering, Mechanical Engineering, Robotics, Biomedical Engineering, or a related field, with a strong background in sensor systems, signal processing, and/or measurement techniques. Familiarity with machine learning or AI-based methods for multimodal data analysis and pattern recognition is preferred. The position requires a research-oriented mindset, motivation to develop and experimentally validate novel methods, and the ability to work effectively in a multidisciplinary team. Fluency in spoken and written English (C1 level) is mandatory. The successful candidate will also contribute to teaching activities and supervise students.

The position offers full-time employment for four years, with an intermediate assessment after nine months. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, scale P (€3,059–€3,881/month), plus a year-end bonus of 8.3% and annual vacation pay of 8%. Additional benefits include a pension scheme, paid pregnancy and maternity leave, partially paid parental leave, high-quality training programs, technical infrastructure, on-campus childcare and sports facilities, commuting and internet allowances, and a tax compensation scheme (30% facility) for international candidates. The university provides a dynamic and ambitious environment, with a strong international network and a commitment to personal and professional development.

To apply, candidates must submit a complete application online, including a cover letter, curriculum vitae with publications, and contact information for three references. Only complete applications will be considered, and applications sent by email or post will not be processed. The vacancy will remain open until filled, with a formal application deadline of February 7, 2026.

For further information, contact the hiring manager Julie Legrand (Assistant Professor) at [email protected] or [email protected]. More details about the application process and working at TU/e can be found on the university’s career page.