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von: HSLU / Hochschule Luzern
Tasks and job requirements
- Conduct literature reviews on recommender systems, SCI rehabilitation, and explainable artificial intelligence (XAI) for medical decision-making.
- Develop novel algorithms for explainable recommendations tailored to rehabilitation needs.
- Designing explainable conversation flows and dialog scripts to ensure effective and user-friendly communication between the intelligent recommender systems and users.
- Collaborate with inter- and trans-disciplinary teams (i.e., physicians, psychologists, patients) to implement an XAI interactive and multimodal interface.
- Conduct user testing and evaluation to validate the effectiveness of the explainable interface and make continuous improvements.
- Publish high-quality research in peer-reviewed journals and conferences.
- The Ph.D. student will be responsible for conducting independent research in XAI.
Your profile
- A master's degree in computer science and experience in related fields.
- Experience in artificial intelligence (AI), machine learning (ML), and recommender systems (RSs); familiarity with XAI and/or Natural Language Processing is a plus.
- Strong programming skills and familiarity with modern AI, XAI frameworks (e.g., TensorFlow, PyTorch, Keras, XAITK, OpenXAI, SHAP, LIME), and NLP tools (e.g., language models). Knowledge of XAI frameworks is a plus.
- Ability to collaborate effectively with interdisciplinary teams, including health professionals.
- Creative and able to communicate complex information.
- Fluent in English. German fluency is a significant advantage.
- Passion for innovative technologies in XAI and Smart Health.
Our offer to you
- Access to state-of-the-art facilities and a supportive research environment.
- Opportunities for interdisciplinary collaboration and professional development.
- A chance to make a tangible impact on the lives of individuals with SCI.
- Participation in conferences, workshops, and seminars.
- Possibilities for research visits abroad.
- You can look forward to opportunities for personal development in research, consultancy, and teaching, as well as flexible working hours and location.
- Your place of work is in Lucerne, close to the railway station and the lake.
Contract Duration & Salary
- Employment rate: 80% (Doctoral Position)
- Duration: 4 years (in line with PhD requirements)
- Salary: Based on SNF doctoral funding rates, approx. CH 50'790/year.
- The starting date is 01.10.2025 (or as arranged by mutual agreement).
How to apply
Applicants should submit the following documents:
- A cover letter explaining your motivation and fit for the position.
- A detailed CV including relevant courses, publications, and programming experience (e.g., GitHub repository).
- Copies of B.Sc. and/or M.Sc. transcripts
- Support letters or contact information for at least two academic or professional referees.
- In addition, you can add any other documents that you find relevant for the applications, such as master's thesis, publications, or project reports.
Location
Lucerne School of Business
Zentralstrasse 9
6002 Lucerne
Inquiries
PD Dr. Luis Terán
José Mancera
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