Doctoral Researcher in AI for AR Neurosurgery

About us

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.

Your role

The PhD position is part of the CART-4D project, a "Made in Luxembourg" collaboration between the University of Luxembourg and ARSPECTRA. The doctoral candidate will be embedded in the Computational Mechanics (Legato) group and enrolled in the Doctoral Programme in Complex Systems Science.

Depending on background and interests, the PhD may include:

• Development of error-controlled biomechanical models in SOFA / FEniCSx / SOniCS for real-time use on AR devices
• Design of Bayesian neural-network surrogates and graph-based models for tissue deformation and brain shift
• Coupling of physics-based and data-driven models, studying when and how to switch between them in real time
• Integration with ARSPECTRA's software stack, e.g. marker tracking, SLAM, gaze tracking, and participation in phantom and clinical studies with CHL

More information about the team and environment: Computational Mechanics (Legato), Legato

Team site, Legato YouTube

Your profile

• Master's degree in computational mechanics, applied mathematics, physics, computer science, biomedical engineering or a related field
• Good knowledge of numerical methods and finite-element analysis
• Solid programming skills in C++ and/or Python
• Experience with SOFA, FEniCSx or similar simulation frameworks is a strong plus
• Motivation to work at the crossroads of mechanics, AI and medical technology, in close collaboration with industrial and clinical partners

Language Requirements:

Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission - Doctoral Candidates.

We offer

• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR)
• A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …

How to apply

Applications should include:

• Curriculum Vitae
• Cover letter presenting your motivation for this doctoral thesis topic, and explaining how your qualifications and aspirations align with its academic focus
• Transcript of all modules and results from university-level courses taken

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information:

• Contract Type: Fixed Term Contract 36 Month
• Work Hours: Full Time 40.0 Hours per Week
• Location: Belval Campus
• Internal Title: Doctoral Researcher
• Job Reference: UOL07984

The yearly gross salary for every PhD at the UL is EUR 41976 (full time).