The University of Maine

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

Ref.: 534134 Work type: Full-time Department: Department of Data and Systems Engineering (14400) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Associate Professor/Assistant Professor in the Department of Data and Systems Engineering (Ref.: 534134), to commence as soon as possible on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. The Department of Data and Systems Engineering is one of the engineering departments in the Faculty of Engineering, offering B.Eng., M.Sc., M.Phil. and Ph.D. programmes in all major fields of data and systems engineering. The Department has strong research programs and excellent facilities for teaching and research. Information about the Department can be obtained at http://www.dase.hku.hk/. Applicants should possess a Ph.D. degree in systems engineering, data science, industrial engineering, computer science or a related field, with a strong commitment to research, teaching and services. The positions are open to all research areas in Data and Systems Engineering, especially data analytics and computing, robotics and automation, artificial intelligence, human and machine cooperation, and human factors. Candidates with experiences in the applications of logistic, supply chain, intelligent transportation, manufacturing automation, construction, services engineering, health care, and smart city are highly preferred. The appointee will be expected to teach undergraduate and postgraduate courses, supervise graduate students, conduct research projects, attract external funding to support research, and provide institutional and professional services.  A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will be provided as applicable. The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V., a research statement and a teaching statement. For additional information on the application, please contact the DASE Search Committee at dase@hku.hk. Applicants are highly encouraged to submit their applications as soon as possible. Review of applications will start as soon as possible and continue until December 30, 2026 or until the posts are filled, whichever is earlier.

Open Rank Position 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 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 The Sustainable Materials Research Center (SUSMAT-RC) at UM6P invites applications for a faculty position in Chemistry, Polymer Science, and Materials Science. Applicants with expertise in, but not limited to, Interface and Colloid Science, Emulsions, Coatings, Encapsulation, Surface Chemistry, Polymer Chemistry, and Molecular and Nanoscale Science are particularly invited to apply. The successful candidate will plan, develop and conduct applied research projects dedicated to Interfaces and Colloids in green chemistry and chemical engineering focusing on the synthesis, processing, and testing of new biobased monomers, polymers, and materials. As a rapidly growing research center, an ideal candidate for this role will be self-motivated, organized, and able to work in ambiguous and changeable situations. A minimum experience of 5 years after the completion of the PhD is required to be eligible for this position. Key Duties The successful candidate is expected to have: Lead all aspects related to Interfaces and Colloids Science within SUSMAT – RC. Transfer the knowledge and findings related to interfaces and colloids to researchers at UM6P, external clients and/or collaborators when required. Collaborate with SUSMAT – RC researchers through the identification and development of new concepts to be applied to sustainable materials and derivatives and their industrial applications thereof. Design and teach advanced courses related to interfacial chemistry, emulsions, colloids and interfaces for the benefit of Master and PhD students at UM6P, Assist in the delivery of engineering solutions to enable the rapid evolution of applied research through the various TRL levels to development and manufacturing (TRL 3-9). Work with members of SUSMAT – RC, other faculty members, companies, and different consortia to identify concepts to rapidly test and translate research innovations to products and/or processes for commercialization. Collaborate with other members of SUSMAT – RC in writing manuscripts for publication, filing patents, and developing research proposals to expand research programs consistent with the strategic vision of the center. Assist in the management and administration of the SUSMAT – RC. This activity may include several components, notably (a) collect, analyze, and summarize scientific literature relevant to a given project/technology, (b) develop specific sections in relevant areas of expertise for a given proposal, (c) coordinate the organization of proposal applications in specific area of expertise. Co-supervise research progress of graduate students and/or postdoctoral fellows. This activity entails regular discussion with group members to ensure they are making progress in their R&D investigations notably in the candidate’s area of expertise. Discuss with the director any challenges and roadblocks and ensure that the proposed solutions are implemented and followed upon. Work with universities, companies, and different consortia to lead groundbreaking R&D for next generation sustainable materials. Effectively communicate in English (verbally and in writing) to disseminate knowledge to group members, clients, and collaborators and/or to represent the SUSMAT – RC at conferences, meetings, and/or workshops. Proactively engage in collaborative R&D by providing solutions and demonstrating the potential of polymer science and engineering in addressing important Moroccan technology challenges. Candidate Criteria To be considered for this role, you will ideally have: Educational background: Ph.D. in Chemistry, Chemical Engineering, Polymer Science, Colloids and Interfaces Science, Soft Matter, or a closely related field Experience and Skills: At least 5 years of professional experience including post-doctoral with recognized expertise in Colloids and Interfaces Science, and industrial experience would be a strong asset. Demonstrated skills in Interface and Colloid Science, Emulsions, Coatings, Surface Chemistry, Polymer Chemistry, and Molecular and Nanoscale Science. In-depth knowledge of material rheology is essential Good experience with (bio)polymer chemistry, nanocomposite science, and processing of (bio)polymers and (bio)composites. Demonstrated ability to effectively develop, lead and maintain research programs. Good teaching experience with the capacity to develop new courses and connect research to teaching (learning by doing) is desirable. Good experience in the supervision of students from the M.Sc. and Ph.D. programs. Good leadership and project management skills in driving the full project trajectory from conceptualization to implementation by applying managerial and scientific principles, Evidence of collaboration with peers at national and/or international institutions, Familiarity with the institutional and industrial ecosystem of Morocco, First-hands experience in entrepreneurship, in launching technology start-ups including essential elements such as prototyping/product visualization and early-stage venture funding would be a strong asset, First-hands experience in entrepreneurship or evidence of participation in entrepreneurial programs. Awareness of Moroccan/African market and product development opportunities. Personal Attributes Be autonomous, detail-oriented, and possess strong organizational skills problem-solving attitudes Strong initiative, self-motivated, and commitment to achieving quality outputs and excellence. Demonstrated bounding to diversity and professional integrity. Demonstrated excellent interpersonal skills and be a good team player Ability to work effectively with a wide range of individuals, including university professors, industry executives, entrepreneurs, etc Fluent in English and French, both spoken and written Application and Selection: The application folder must contain: Detailed CV, Cover letter along with a synthetic presentation of the background, research works, projects and activities, publications, key achievements, Research and teaching plans, entrepreneurial ideas and concepts if any, and services to UM6P community: max 3-4 pages, Contact information of 3 referees. Our Offer Very competitive salary and benefits package. A unique set of research partners and collaborators. Access to a pool of highly motivated and rigorously selected Master and PhD students with financial support.