Shibaura Institute of Technology

The Chemical and Biochemical Sciences-Green Process Engineering at the University of Mohammed VI Polytechnic Benguerir Morocco seeks Postdoctoral applicants in Proteomics and Drug Development.  Job/Project Description: Angiogenesis, the formation of new blood vessels, is crucial angiogenesis in tumor growth, proliferation, invasion, and metastasis. Advances in molecular biology have identified critical biomolecules involved in this process, making anti-angiogenic treatments a promising cancer therapy strategy. Common treatments include monoclonal antibodies and tyrosine kinase inhibitors targeting the VEGF pathway. However, challenges like adverse events, drug resistance, tumor recurrence, and lack of biomarkers limit their effectiveness. Further research into angiogenesis mechanisms, drug development, and combination therapies is needed to enhance therapeutic outcomes. In recent years, a significant research focus has been combining angiogenic and immune checkpoint inhibitors. Compared to monotherapies, this approach has shown improved clinical benefits in hepatocellular carcinoma and renal cell carcinoma patients treated with a combination of PD-1 and VEGFR-2 inhibitors. To address the challenges of anti-angiogenic treatment and explore emerging strategies to enhance its therapeutic benefits, we are focusing on the development of novel anti-angiogenic drugs against specific biomarkers as potential clinical candidates.To meet our objectives, we have collaborated with colleagues from Canadian, USA, and European universities, and we are equipped with OMICS state-of-the-art technologies. Fellowship Competitive international compensation and health insurance Expected activities. Conduct research as part of the project team. Applicant requirements Ph.D. in bioinformatics, proteomics, drug design and development, genomics, mathematics, computer science, or related fields Complete CV Short research statement (summary) Interest in intracellular organelle/cell biology, signal transduction, proteomics, drug design, or related fields Good knowledge of cell biological and molecular biological methods Experience in bioinformatics tools related to proteomics and drug design. Aptitude for teamwork, problem-solving solving, and collaborative relationships Verbal and written skills in English Positive attitude in changing fast-paced environments.

Postdoctoral Fellowship in Development and Characterization of Organic Membranes for Applications in Electrodialysis and Capacitive Deionization Systems The CBS department of the Mohammed VI Polytechnic University is launching a call for applications for a postdoctoral fellow with expertise in laboratory or pilot scale membrane fabrication and characterization, as well as in the characterization of the physical, chemical, and separation properties of membranes. In-depth knowledge of the properties of materials used in membrane manufacturing, including the selection of appropriate materials based on performance requirements is required. The postdoctoral fellow will join the CBS-IGSAC department where he will be responsible for participating in the conduct of a research program on the valorization of phosphate by-products and its derivatives in order to develop and carry out studies on membrane techniques allowing the separation, concentration, recovery or destruction of certain elements. Thus, the successful candidate will be expected to contribute to the realization of a wide range of scale-up studies of a membrane manufacturing process to validate the selection of the appropriate design to desalinate brackish water and/or seawater. Job description: The position is open to candidates with a PhD or equivalent in a relevant discipline from a recognized university. Candidates must demonstrate that their doctoral work and past experience are related to one or more aspects of membrane manufacturing. Preference will be given to candidates with: Experience in the separation/purification of industrial effluents, particularly with membrane/electromembrane processes, Proven experience in the precipitation of value-added elements through separation methods, Excellent communication skills, both oral and written. Fluency in English is a must. Candidate Criteria: Ph.D. in Materials Engineering, Polymer Chemistry, Chemistry, Electrochemistry, or other related fields from a recognized university. Willingness to learn how to generate new ideas, form new connections, and build on existing ideas to develop effective concepts and solutions. Ability to supervise Ph.D. students. Excellent oral and written communication skills in English. Expected Activities: Conduct scientific research within the project team. Train and supervise Ph.D. students in their second and third years to prepare them for their defense. Conduct electrolysis/electrodialysis and membrane separation experiments. Monitor ongoing experiments and adjust settings as appropriate. Maintain high standards and quality in laboratory operations. Position Requirements: Expertise in materials chemistry and polymers. Competence in materials characterization. Knowledge of polymer membrane preparation and characterization. Understanding of electrochemistry. Expertise in membrane separation techniques. Ability to design and conduct electrolysis and electrodialysis experiments. Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Familiarity with laboratory safety protocols and quality control measures. Capability to work collaboratively within a research team. Application and Selection Process: The application package must include: A cover letter detailing the candidate's motivation for applying to this position. A comprehensive curriculum vitae. Brief research statement. Contact information for three referees. The candidate must be highly motivated and capable of working independently. They should possess knowledge of materials and polymer science, along with experience in the preparation and characterization of polymer membranes. Additionally, familiarity with electrochemistry and membrane separation technology would be advantageous.

Job Title: Postdoctoral Researcher – AI/ML for Energy Systems Location: Ben Guerir Position Type: Postdoctoral Research Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields. The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. The Green Tech Institute at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking a highly motivated postdoctoral researcher to join our team in exploring the intersection of energy transition, circular economy, and sustainable construction production. This position aims to advance innovative solutions that promote sustainability in the built environment, focusing on the effective integration of renewable energy, resource efficiency, and waste reduction. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable energy and sustainable construction. Position Overview: We are seeking a talented and motivated Postdoctoral Researcher to join our cutting-edge team, working on the development of advanced AI/ML algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be on creating and optimizing state-of-charge (SOC) and state-of-health (SOH) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics for real-time battery health monitoring and fault detection. Collaborate with embedded systems and hardware engineering teams to integrate AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including edge AI applications. Guide PhD students and collaborate with engineers to implement advanced ideas. Author scientific publications, present findings at conferences, and contribute to patents or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and applying AI/ML models to energy systems or similar applications. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud) Understanding of BMS architecture and electric mobility systems.