Polytechnic University of the Philippines

Position Overview: We are seeking a highly motivated Postdoctoral Researcher to join our interdisciplinary team focused on Artificial Intelligence (AI)-driven retrosynthesis and reaction prediction. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex molecules in chemistry, pharmaceuticals, and agrochemicals. The position provides a unique opportunity to work at the forefront of computational chemistry and AI, contributing to high-impact research with real-world applications in green chemistry and industrial synthesis. Key Responsibilities: Develop and implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic pathway prediction. Apply deep learning techniques to predict reaction outcomes, optimize reaction conditions, and identify novel synthetic routes. Curate and manage reaction datasets from literature, patents, and proprietary sources to train and validate predictive models. Integrate retrosynthesis tools with cheminformatics platforms and molecular modeling software. Collaborate with synthetic chemists to experimentally validate predicted retrosynthetic routes and optimize laboratory workflows. Contribute to scholarly publications in high-impact journals and represent the research group in conferences and workshops. Mentor graduate students and participate in capacity-building activities within the research team. Required Qualifications: Ph.D. in Chemistry, Computational Chemistry, Cheminformatics, Computer Science, or a related discipline. Proven expertise in machine learning/deep learning applied to chemical reaction prediction or retrosynthesis (e.g., reaction templates, template-free approaches). Proficiency in Python programming and familiarity with ML frameworks such as TensorFlow, PyTorch, or JAX. Experience with cheminformatics tools (e.g., RDKit, Open Babel) and chemical reaction databases (e.g., Reaxys, USPTO, Pistachio). Understanding of organic synthesis and reaction mechanisms. Publication record demonstrating expertise in AI and computational chemistry. Excellent problem-solving skills and the ability to work collaboratively in a multidisciplinary research environment. Preferred Skills: Experience in graph-based learning, attention mechanisms, and transformer architectures applied to chemical data. Knowledge of computer-aided synthesis planning (CASP) tools and retrosynthetic analysis software (e.g., AiZynthFinder, ASKCOS, IBM RXN). Familiarity with reaction condition prediction and reaction yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process: Interested candidates should submit the following documents as a single PDF: Cover letter describing research interests, motivation, and relevant experience Detailed Curriculum Vitae (CV) with a list of publications Contact details for at least two academic referees

Job description: Sustainable Materials Research Center (SUSMAT-RC) is seeking a highly motivated and talented postdoctoral fellow to join our research team focused on the development of new sustainable formulations for different applications. This position offers an exciting opportunity to contribute to cutting-edge research in the field of formulation chemistry to develop promising solutions and demonstrate its potential in addressing important Moroccan challenges. Key duties: The successful candidate is expected to: Contribute to the group’s activities in formulation chemistry, organic chemistry, liquid formulations, and their applications. Design and develop formulations based on specific requirements, such as sustainability, performance, stability, and cost-effectiveness. Perform chemical modifications to enhance the properties of the formulations. Proactively engage in collaborative R&D by providing solutions and demonstrating the potential of formulation chemistry in addressing important Moroccan technology challenges. Publish research results in peer-reviewed and high-impact international academic journals of the field and present research results and scientific outcomes to stakeholders and at scientific meetings and conferences. Co-supervise ungraduated, graduate and PhD students  Participate in developing research proposals and programs in the area of collaboration with multidisciplinary groups in the field Criteria of the candidate: To be considered for this role, you will ideally have: PhD in organic chemistry, polymer chemistry, colloids science or related field. Relevant experience and in-depth knowledge in the synthesis, purification, and chemical characterization of organic compounds. Good experience in formulation chemistry Hands-on experience in liquid formulation, characterization, and design as well as in emulsion formulation and characterization tools Experience in biopolymer extraction and functionalization and in chemical modification of vegetable and mineral oils would be an asset.  Application and Selection: Application folder must contain: Detailed CV. Motivation letter, emphasizing your specific interest and motivation A brief research statement. Contact information of 2 referees.  About Mohammed VI Polytechnic University (UM6P): Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, was established to serve Morocco and the African continent and to advance applied research and innovation. This unique university, with state-of-the-art infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the Sustainable Materials Research Center (SusMat - RC):  The Sustainable Materials Research Center (SusMat - RC) is a multidisciplinary research center engaged in the development of advanced biobased products and materials thereof using biotechnological, physical and chemical conversion strategies and engineering processes (b) understanding and controlling their underlying specific functionalities and the structure-properties relationship acting over multiple length scales from the molecular, nano to the macro level and their cross-interactions and (c) utilizing the gathered knowledge and the invented materials to address key technological challenges in Morocco and African continent and assist the transition toward a green and circular economy.

Job Description As an element of our scientific research activities at the CBS department, we are conducting innovative research on the development of advanced materials for biomass conversion processes. This project focuses on designing and optimizing novel materials that enhance the efficiency and effectiveness of converting biomass into valuable products such as biofuels and fine chemicals. We are seeking a highly motivated candidate to contribute to the exploration of new materials and their applications in thermochemical and biochemical conversion processes. Main Responsibilities: Design, synthesize, and characterize advanced materials for biomass conversion. Conduct experiments to evaluate the performance of these materials in various conversion processes. Investigate the mechanisms of biomass conversion and the role of materials in enhancing reaction efficiency.  Analyze products and materials using advanced characterization techniques (e.g., HPLC, GC-MS, SEM, TEM, BET …). Write scientific reports, and research articles, and participate in conferences. Candidate Profile PhD degree in Materials Science, Chemical Engineering, or a related field. Strong background in materials synthesis and characterization. Experience with biomass conversion processes and catalytic systems is highly desirable. Familiarity with advanced analytical techniques will be valued. Excellent communication skills (oral and written) in English. Good publication track record in peer-reviewed journals. Ability to work independently and as part of a multidisciplinary team. Experience in co-supervision and coordination of graduate students is a plus. Candidature Submission: Applicants should submit: Cover letter outlining research experience, achievements, and research plan. Curriculum Vitae. List of publications. Name and contact information of at least two referees.