University of Roehampton

About Mohammed VI Polytechnic University (UM6P) Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa, UM6P aims to position these fields as the forefront and become a university of international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors, and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research teams. The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems. About the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green Process Engineering Department (CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international level, to meet the research and teaching challenges of UM6P, on green and environmental chemistry applied to all aspects of chemical sciences: organic and inorganic chemistry, analytical chemistry, chemical biology, biochemical and thermal reactions. Research at CBS is organized around several major areas, which aim to answer challenging industrial questions, from complex chemical and biochemical reactions to scale-up and validation of process engineering. CBS projects aim at an in-depth understanding of the molecular mechanisms of all transformations to propose new original alternatives in terms of efficiency, environmental friendliness, and sustainability. Job Description The CBS department at UM6P is seeking a highly motivated and qualified researcher for a Postdoctoral position in Hydrometallurgy with the common objective to develop sustainable recycling processes for separation and recovery of valuable and critical metals from various waste streams. The successful candidate will contribute significantly to advancing the department's research initiatives and supporting mission of research excellence and innovation. The work includes the design and experimental study of basic model as well as more applied systems. Key Responsibilities: Expertise in hydrometallurgy, and/or flotation, precipitation, etc. Strong academic credentials and scientific proficiency documented in publications. Strong laboratory/instrumental skills An analytical approach Awareness of diversity and equal treatment issues with a particular focus on gender equality Analyse experimental data, interpret results, and contribute to the development of new hypotheses and research directions.​ Prepare manuscripts for publication in peer-reviewed scientific journals and present research findings at national and international conferences.​ Collaborate with interdisciplinary research teams within the department and with external partners to enhance research outcomes.​ Candidate Criteria A doctoral degree or an equivalent foreign degree in chemistry, chemical engineering or hydrometallurgy. Research Excellence: A strong track record of high-quality research demonstrated through publications in reputable international journals. Collaborative Mindset: Proven ability to collaborate effectively with interdisciplinary teams and external partners to address complex challenges. Communication Skills: Excellent communication and presentation skills in English. Proficiency in French a plus. Entrepreneurial Spirit: Alignment with UM6P's focus on entrepreneurship, Application and Selection: The application folder must contain: Detailed CV, Cover letter along with a comprehensive presentation of the candidate background, research work, projects, and key activities (publications and achievements) Research and teaching statement, entrepreneurial ideas, and concepts if any, and services to UM6P community: max 3-4 pages, 2 reference letters. Our Offer Very competitive salary and benefits package. A unique set of research partners and collaborators.

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

Position Title: Postdoctoral researcher – Plant ecology and soil–plant interactions in vegetated photovoltaic systems-in mining site. Duration: 12 months, renewable. Position Summary: We are seeking a postdoctoral researcher to join our team and contribute to an innovative research project. This position is part of a project aimed at evaluating the integration of native vegetation beneath photovoltaic installations in semi-arid post-mine environments. The objectives include soil stabilization, dust reduction, and the creation of a favorable microclimate to enhance the energy performance of solar panels. This position offers an excellent opportunity to develop applied research skills in a field with significant environmental impact. Responsibilities: Selection and characterization of native and local plant species (grasses, legumes, pollinator-friendly plants). Implementation of germination, growth, and adaptation trials under semi-arid conditions. Execution of field trials on pilot sites. Analysis of vegetation effects on microclimate. Participation in the analysis of soil–plant interactions (composition, moisture, microbiology). Scientific valorization: publications, reports, and communication of results. Ensure strict adherence to health, safety, and environmental protection regulations in accordance with UM6P standards. Candidate Profile: PhD in plant ecology, environmental sciences, or a related field. Experience in phytomanagement, plant ecology and biology, revegetation of degraded sites. Knowledge of moroccan or mediterranean native plants. Skills in plant propagation and development. Proficiency in biodiversity monitoring tools and plant growth tracking. Field experimentation skills and experience in ecological data collection and analysis. Demonstrated hands-on experience using a variety of laboratory equipment and techniques. Mastery of lab procedures and instruments essential for conducting effective experiments and research. Strong teamwork and collaborative problem-solving skills. Excellent written and oral communication skills in both English and French. Additional Skills (Preferred): Previous post-doctoral experience in plant ecology. Experience with environmental data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative and autonomy to conduct fieldwork. Application Documents: Cover letter Detailed CV List of publications Copies of diplomas Professional references (minimum of 2)