Summary
The University of Oslo is offering a PhD position focused on AI-driven multimodal analysis and predictive modelling of biomaterials. This exciting opportunity involves cutting-edge research at the intersection of artificial intelligence, materials science, and biomedical engineering, aiming to advance our understanding and application of biomaterials.
PhD Position: AI-Driven Multimodal Analysis and Predictive Modelling of Biomaterials
Designation
PhD Candidate
Research Area
- AI-Driven Multimodal Analysis
- Predictive Modelling of Biomaterials
- Artificial Intelligence
- Materials Science
- Biomedical Engineering
Location
University of Oslo, Norway
Eligibility/Qualification
To be eligible for this PhD position, applicants must meet the following criteria:
- Master’s Degree: A Master’s degree (or equivalent) in a relevant field such as Materials Science, Biomedical Engineering, Physics, Chemistry, Computer Science, or a related discipline. The degree must have been obtained and documented by the application deadline.
- Academic Background: Strong academic record, typically with an average grade of B or better (according to the Norwegian grading scale) on the Master’s thesis and overall Master’s degree.
- Research Experience: Documented experience with relevant research methods and techniques, particularly in AI/machine learning, data analysis, or biomaterials characterization.
- Programming Skills: Proficiency in programming languages commonly used in AI and data science (e.g., Python, R).
- Language Skills: Excellent oral and written English communication skills.
- Motivation: Strong motivation for research and ability to work independently as well as in a team.
- Desirable: Experience with multimodal data analysis, advanced microscopy techniques, or computational modelling of materials will be considered an advantage.
Scholarship Description
The PhD position is a fully funded, 3-year research fellowship with no teaching duties, dedicated entirely to research and doctoral studies. The successful candidate will be part of an interdisciplinary research environment, contributing to a project that utilizes advanced AI techniques to analyze complex biomaterial data. The goal is to develop predictive models that can accelerate the design and optimization of novel biomaterials for various applications, including medical implants and tissue engineering. The position offers access to state-of-the-art facilities, supervision from leading experts, and opportunities for national and international collaboration.
How to Apply
Applications must be submitted electronically through the Jobbnorge portal. The application package should include:
- Cover Letter: A statement of motivation (max. 2 pages) outlining your research interests, how your qualifications match the position, and what you hope to achieve during the PhD period.
- Curriculum Vitae (CV): A comprehensive CV detailing your education, work experience, publications (if any), and relevant skills.
- Transcripts and Diplomas: Certified copies of all university degrees and academic transcripts.
- Master’s Thesis: A copy of your Master’s thesis.
- References: Names and contact information for 2-3 academic references.
- Publications: (Optional) Up to 3 academic publications or other relevant work samples.
All documents should be in English or a Scandinavian language. Please ensure all required documents are uploaded by the deadline.
Last Date for Apply
Until Position Filled
Apply Link
