PhD for Center of Intelligent Optics The Center for Intelligent Optics (CIO) develops advanced optical technologies, including imaging, spectroscopy, and laser ablation methods. Our goal is to bridge these cutting-edge laser technologies with clinical practice, developing solutions that enable accurate and real-time diagnosis and therapies. Project background Polyethylene wear is a major factor affecting the long-term performance of hip implants, as it can lead to particle-induced inflammation and implant loosening. Understanding the mechanisms and patterns of wear at the microscopic and molecular levels is therefore critical for improving implant longevity and patient outcomes. In this project, high-resolution spectroscopic imaging will be employed to map chemical changes and structural degradation in the PE material, while correlating these findings with biological responses observed in surrounding tissues. The principal aim of this interdisciplinary project, entitled "Comprehensive analysis of determinants of polyethylene wear and the related tissue response to improveoutcomes in total hip arthroplasty" is to characterize the in vitro and in vivo wear behavior of polyethylene (PE) sockets from retrieved THA components. This will be achieved using advanced optical imaging techniques such as Fourier Transform Infrared (FTIR) spectroscopy and Raman spectroscopy. To achieve this goal, two positions have been designed. The first position (technician) will focus on performing Raman/FTIR on retrieved samples. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data. Your position The PhD position will focus on development a comprehensive and AI-driven platform for automated analyzing on acquired data (such as labeling, and clustering.). The candidate is expected to visit research facilities in the US, Germany, and Switzerland to collaborate with the research partners and expand their knowledge in the topic. Your profile University master's degree in Computer Science, Physics, Biomedical Engineering, or closely related fields Excellent Master's and Bachelor's grades Strong programming skills, preferably in Python, with experience in deep learning algorithms Experience with Raman and/or FTIR imaging is a plus High motivation to work with optics and their biomedical applications, Applicants are expected to have excellent language skills in English. We offer you Opportunity to work on a highly innovative project within a highly interdisciplinary environment Enrollment in an established 1-year PhD program (with 3-year possible extension) in Biomedical Engineering (in English) The salary is very competitive by international standards and will be according to the guidelines of the University of Basel. Five weeks of holidays per year, 42 working hours per week. Application / Contact Apply for this project with the following documents as a single PDF file: • CV including publication list • Motivation letter (max 2 pages) • Diplomas and course transcripts • The names and addresses (including email) of three references This position will stay open until filled. For more information, please refer to arsham.hamidi@unibas.ch (Subject: Tech-CIO-25106). Apply www.unibas.ch Wenn Sie sich auf diese Stelle bewerben, erwähnen Sie bitte dass Sie sie auf Universitoxy gesehen haben.

PhD for Center of Intelligent Optics

The Center for Intelligent Optics (CIO) develops advanced optical technologies, including imaging, spectroscopy, and laser ablation methods. Our goal is to bridge these cutting-edge laser technologies with clinical practice, developing solutions that enable accurate and real-time diagnosis and therapies.

Project background

Polyethylene wear is a major factor affecting the long-term performance of hip implants, as it can lead to particle-induced inflammation and implant loosening. Understanding the mechanisms and patterns of wear at the microscopic and molecular levels is therefore critical for improving implant longevity and patient outcomes. In this project, high-resolution spectroscopic imaging will be employed to map chemical changes and structural degradation in the PE material, while correlating these findings with biological responses observed in surrounding tissues. The principal aim of this interdisciplinary project, entitled "Comprehensive analysis of determinants of polyethylene wear and the related tissue response to improveoutcomes in total hip arthroplasty" is to characterize the in vitro and in vivo wear behavior of polyethylene (PE) sockets from retrieved THA components. This will be achieved using advanced optical imaging techniques such as Fourier Transform Infrared (FTIR) spectroscopy and Raman spectroscopy. To achieve this goal, two positions have been designed. The first position (technician) will focus on performing Raman/FTIR on retrieved samples. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data.

Your position

The PhD position will focus on development a comprehensive and AI-driven platform for automated analyzing on acquired data (such as labeling, and clustering.). The candidate is expected to visit research facilities in the US, Germany, and Switzerland to collaborate with the research partners and expand their knowledge in the topic.

Your profile

University master's degree in Computer Science, Physics, Biomedical Engineering, or closely related fields
Excellent Master's and Bachelor's grades
Strong programming skills, preferably in Python, with experience in deep learning algorithms
Experience with Raman and/or FTIR imaging is a plus
High motivation to work with optics and their biomedical applications,
Applicants are expected to have excellent language skills in English.

We offer you

Opportunity to work on a highly innovative project within a highly interdisciplinary environment
Enrollment in an established 1-year PhD program (with 3-year possible extension) in Biomedical Engineering (in English)
The salary is very competitive by international standards and will be according to the guidelines of the University of Basel. Five weeks of holidays per year, 42 working hours per week.

Application / Contact

Apply for this project with the following documents as a single PDF file:
• CV including publication list
• Motivation letter (max 2 pages)
• Diplomas and course transcripts
• The names and addresses (including email) of three references

This position will stay open until filled. For more information, please refer to arsham.hamidi@unibas.ch (Subject: Tech-CIO-25106).

Apply

www.unibas.ch

Wenn Sie sich auf diese Stelle bewerben, erwähnen Sie bitte dass Sie sie auf Universitoxy gesehen haben.

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