Pinnacle African University

Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment in the metropolitan area of Marrakech. The School of Computer Science at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in a two-year research project in collaboration with international academic partners. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including non-iidness of data distribution, system heterogeneity, and dynamic environments. Key duties: The Postdoctoral Fellow is expected to: Publish in high-impact journals in the field. Supervise graduate and undergraduate students. Criteria of the candidate: PhD in the field of wireless communication, computer science, or any related field. Strong publication record in high-impact conferences/journals. Aptitude for teamwork, problem-solving, and collaborative relationships Strong technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless communication. Good communication skills in oral and written English Employment terms: The successful candidate will be employed by Mohammed VI Polytechnic University (UM6P) based at Benguerir (50 km north of Marrakech), Morocco. Applications and selection procedure: Applications must be sent using a single electronic zipped folder with the mention of the job title in the mail subject. The folder must contain: A 1-page cover letter. A detailed CV. A research statement. A digital copy of the PhD thesis. Contact information for at least two potential academic referees. The earliest available starting date of the candidate. Shortlisted candidates will be invited for an Interview.

Location: University Mohammed VI Polytechnic, College of Computing, Bioinformatics Laboratory, Ben Guerir, Morocco. Duration: 2 years About the Lab/Institution: The Bioinformatics Laboratory conducts research in the fields of bioinformatics, computational biology and computational chemistry and serves the agricultural, environmental and health sectors. The lab also provides bioinformatics consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers and mass spectrometry and the largest HPC (High Performance Computing) cluster in Africa. The laboratory aims to leverage these resources to address bioinformatics needs internally and at the African level and to develop innovative research and training programs. For more information about the laboratory, you can visit https://bioinformatics.um6p.ma/ Project Description: We are seeking a highly motivated and talented postdoctoral researcher to join our team to develop a novel GPT-like system for bacterial genomes using cutting-edge genomic language models. This project aims to adapt and extend transformer-based architectures to create a powerful tool for understanding and predicting bacterial genomic sequences. The successful candidate will play a key role in developing and optimizing these models, applying them to diverse bacterial use cases, and contributing to the development of software tools for the broader research community. Responsibilities: Develop and implement transformer-based genomic language models for bacterial genome analysis. Train and evaluate models on large-scale bacterial genomic datasets. Apply the developed models to address specific research questions, such as gene function prediction, antibiotic resistance analysis, and evolutionary studies. Analyze and interpret results, and prepare manuscripts for publication in peer-reviewed journals. Collaborate with other researchers within the lab and external collaborators. Maintain accurate and organized records of research activities. Qualifications: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field. Strong background in machine learning, particularly deep learning and natural language processing. Experience with transformer-based architectures (e.g., BERT, GPT) is highly desirable. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools and genomic data analysis. Strong programming and data analysis skills. Excellent communication and writing skills. Ability to work independently and as part of a team. Preferred Qualifications: Experience working with bacterial genomic data. Knowledge of bacterial genetics and evolution. Experience developing software tools for bioinformatics applications. Experience with cloud computing platforms. To Apply: Please submit the following materials Cover letter outlining your research interests and experience. Curriculum vitae (CV) including a list of publications. A brief research statement describing your past research and future interests. Contact information for three professional references.

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 innovative and sustainable sensor systems for industrial applications. This position offers an exciting opportunity to contribute to cutting-edge research in the field of sustainable materials to develop promising solutions that support and promote smart and sustainable practices in industrial processes. The successful candidate will develop innovative and efficient sensing platforms using advanced manufacturing techniques and strategies. The sensor platforms will leverage miniaturized, low-cost, and efficient components, utilizing state-of-the-art manufacturing techniques to enable seamless integration into industrial equipment and infrastructure. Key duties: The successful candidate is expected to: Have strong experience in polymers, molecularly imprinted polymers, and polymer-based nanocomposite synthesis, characterization, and application. Demonstrate knowledge and/or experience in sensor processing including design, fabrication, and characterization. Conduct research to design, develop, and optimize sensors for industrial applications. This includes exploring novel sensing technologies, materials, and data analysis techniques. Conduct rigorous field testing of developed sensors to ensure sensor accuracy, reliability, and robustness. Collaborate with interdisciplinary teams, including engineers, and data scientists, to integrate sensor technologies into comprehensive industrial systems.  Maintain detailed records of experimental procedures, results, and observations.  Prepare technical reports, research papers, and presentations for conferences and scientific publications. Contribute to the generation of new research ideas, participate in grant writing activities, and seek external funding opportunities to support ongoing research projects. Have a good knowledge of analytical techniques (GC/LC-MS, HPLC, etc), spectroscopic techniques (UV-Vis, FTIR, Raman, NMR, XRD, spectrophotometry, etc), and microscopy techniques (SEM, TEM, AFM, etc) necessary for structural and physical-chemical characterization of polymer and polymer-based nanocomposite. Proven experience and familiarity with electrochemical techniques necessary for preparation, characterization and application of polymer and polymer-based nanocomposite: CV, LSV, DPV, SWV, EIS, etc. Broad experience in surface modification of inorganic or organic substrates. Contribute to the group’s activities in the processing of sustainable materials, (bio)polymer composites and their applications as sensing platforms in related fields. Experience in supervising undergraduate, master's and doctoral students. Criteria of the candidate To be considered for this role, you will ideally have: Ph.D degree in analytical chemistry, polymer science, materials science and engineering or any related field. Strong motivation and passion for research in the field of sensors Strong initiative, self-motivated, and focused on achieving quality outputs. Good time management and task prioritization skills. Strong analytical, problem solving and teamwork skills. Ability to work both as part of a team and to work independently. Excellent oral and written communication skills in English. 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 About Mohammed 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.