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Urgent! COFUND PhD position - Artificial Intelligence / Machine Learning for Molecular Design Position in La Rochelle - La Rochelle Université
Topic description
Title of the thesis project: Artificial intelligence-driven design and development of antimicrobial materials upon transductive/inductive graph neural network approaches for biomedical applications
Context and research project
The rise of antimicrobial resistance (AMR) and the need for new antimicrobial strategies represent urgent challenges in modern medicine.
Traditional antimicrobial agents such as antibiotics are increasingly ineffective due to the rapid emergence of resistant pathogens.
In this context, the development of novel antimicrobial materials that can overcome these resistance mechanisms is critical.
Artificial intelligence (AI), particularly deep learning (DL) approaches such as graph neural networks (GNNs), offer an innovative approach to accelerate the design and optimization of these materials.
GNNs is capable of predicting molecular interactions, allowing for the rapid identification of promising compounds and materials with enhanced antimicrobial properties.
This PhD thesis project aims to leverage DL, specifically transductive/inductive graph neural network approaches, to design and optimize antimicrobial materials, making the process faster, more efficient, and more targeted, leading to the development of next-generation materials for biomedical applications to combat microbial infections.
The main objective of this PhD thesis proposal is to develop antimicrobial materials through the integration of DL to predict and optimize the antimicrobial efficacy of new compounds and material composites against viruses, bacteria and fungi.
Key objectives include:
Scientific Challenges
This research faces several significant scientific challenges:
Methods to Address Challenges
To address these challenges, the project will utilize a multi-disciplinary approach combining AI, material science, and experimental biology and chemistry:
Expected Results
This research is expected to yield several significant outcomes:
Starting date
-09-15Funding category
EU fundingFunding further details
Horizon Europe – COFUND✨ Smart • Intelligent • Private • Secure
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Unlock Your COFUND PhD Potential: Insight & Career Growth Guide
Real-time COFUND PhD Jobs Trends in La Rochelle, France (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for COFUND PhD in La Rochelle, France using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 79 jobs in France and 8 jobs in La Rochelle. This comprehensive analysis highlights market share and opportunities for professionals in COFUND PhD roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! La Rochelle Université is currently hiring and seeking a COFUND PhD position Artificial Intelligence / Machine Learning for Molecular Design to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at La Rochelle Université adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a COFUND PhD position Artificial Intelligence / Machine Learning for Molecular Design Jobs France varies, but the pay scale is rated "Standard" in La Rochelle. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for COFUND PhD position Artificial Intelligence / Machine Learning for Molecular Design typically include Life Scientists and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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