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We are offering a postdoctoral fellowship opportunity in the FAPESP project AIIDKIT (Artificial Intelligence for Improved Infectious Diseases Outcomes in Kidney Transplant Recipients), which aims to develop Artificial Intelligence systems to predict infection risks in kidney transplant patients. The research will be conducted at the Institute of Mathematics and Computer Science (ICMC-USP) in São Carlos, with international collaboration and the possibility of an exchange period in Switzerland.

Location and Benefits
- Location: ICMC-USP, São Carlos, SP, Brazil.
- Fellowship Amount: R$ 12,000.00/month.
- Additional Benefits: Research contingency funds, installation support, maternity/paternity leave, and reimbursement for social security contributions.
- Duration: Up to 48 months.

Responsibilities
- Develop and evaluate AI models for predicting infection risks.
- Integrate models into a clinical decision-support tool.
- Work with advanced techniques such as GNNs and LoRA.
- Prepare and harmonize clinical datasets.
- Collaborate/Manage interdisciplinary teams.
- Disseminate results through scientific publications.

Requirements
- Ph.D. in Computer Science/Engineering/Bioinformatics or a related field, completed after 2017.
- Experience in deep learning and data science.
- Proficiency in English (written and spoken).
- Strong programming skills and collaborative work experience.

Application Process
- Deadline: January 10, 2025.
- Send an email to junio (at) icmc.usp.br with the subject: "Seleção-POSDOC".
- Required documents: ResearcherID number

After pre-selection:
- Interview

Upon acceptance (starting February 1, 2025):
- résumé;
- Two recommendation letters;
- Brief statement of interest in the project area.