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Job Summary: We are seeking a predoctoral researcher to develop an industrial thesis optimizing the pharmaceutical supply chain using AI in collaboration with Pfizer. Key Highlights: 1. Doctoral project with AI for pharmaceutical supply chain optimization. 2. Collaboration with Pfizer on an industrial thesis. 3. Focus on Graph Neural Networks and spatiotemporal models. Loyola University is a Jesuit university and the first private university in Andalusia. It belongs to an international network of over 193 Jesuit universities across the Americas, Europe, Africa, Asia, and Oceania. Its mission is to educate individuals for others—people capable of improving the world we live in across diverse academic and professional fields. Today, Loyola University is the Andalusian university with: * The highest graduate (13th in Spain) and postgraduate (5th in Spain) employability rates. * The highest academic performance among undergraduate programs (17th in Spain) and second-highest among postgraduate programs (34th in Spain). * The highest degree of internationalization (+240 agreements with universities worldwide and membership in an international network of +190 Jesuit universities across the Americas, Europe, Africa, Asia, and Oceania). * The most international and youngest faculty, with the largest number of active Spanish research six-year terms (sexenios). Loyola University—the first socially initiated private university in Andalusia, promoted by the Society of Jesus—selects a training researcher to carry out a doctoral research project addressing pharmaceutical supply chain optimization and resilience in collaboration with Pfizer through state-of-the-art Artificial Intelligence. Loyola University offers: * Predoctoral contract as a Research Assistant. * Annual gross salary: €18,876. * Full-time commitment. Duration: Contract tied to the completion of a doctoral thesis (4 years). * The University encourages applications from candidates meeting the following generic professional profile: A predoctoral researcher is required to develop an industrial thesis focused on applying Graph Neural Networks (GNNs) and spatiotemporal models to optimize the supply chain in collaboration with Pfizer. Academic qualifications: * Bachelor’s and official Master’s degree in Artificial Intelligence, Data Science, Engineering, Mathematics, or related STEM disciplines qualifying the candidate for enrollment in a doctoral program. * Languages: English level C1 for literature review and writing international scientific publications. * Strong background in Deep Learning and predictive analytics. Skills and competencies: * Advanced proficiency in Python and deep learning frameworks (e.g., PyTorch and domain-specific graph libraries) is essential. * High analytical capacity for mathematical modeling of complex systems. * Proactivity in multidisciplinary collaboration between academia and industry. Job responsibilities: * High-quality data preprocessing and structuring: Extraction, cleaning, and transformation of heterogeneous and dynamic supply chain data (SKUs, plant capacities, lead times, external events) for appropriate modeling as temporal heterogeneous graphs. * Design and development of Deep Learning architectures: Implementation of STGNN models, combining advanced graph blocks (e.g., Heterogeneous Graph Transformers – HGT) with temporal modules (e.g., Transformers), for demand forecasting, production line variance analysis, and early anomaly detection. * Integration into Digital Twins: Embedding graph-based predictive models into virtual replicas of production chains for distributed scenario simulation and operational optimization. * Industrial validation and benchmarking: Evaluation of the proposed model’s performance and accuracy metrics against traditional Machine Learning predictive techniques, ensuring robustness using real plant data. * Scientific dissemination and knowledge transfer: Knowledge exchange between industry and academia via technical reports, patents, or development documentation. Applicants must submit: * English language certificates (minimum B2) and Spanish language certificates (minimum C1 for foreign applicants). * A complete, up-to-date curriculum vitae. * Detailed and complete academic transcripts for both Bachelor’s and Master’s degrees (or equivalent), indicating grades for all courses on a 0–10 scale, along with the institution name and date of award. * Two letters of recommendation. * A letter of support from the collaborating company. to the following email addresses: dcanales@uloyola.es rrhh@uloyola.es with subject line: **AIPfizer 2026. Industrial Doctorate in AI** Applications received incompletely or not conforming to the call requirements will be automatically discarded. Loyola University is an institution committed to excellence.
