Universidad Católica de la Santísima Concepción

Postdoctoral in Water Resources Engineering with focus on the hydrologic cycle at catchment scale Mohammed VI Polytechnic University - Benguerir - Morocco Geology & Sustainable Mining Institute GSMI About the employer 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. Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. UM6P is located in the municipality of Benguerir, in the very heart of the Green City and only 70 km away from Marrakech. Thanks to its prestigious architectural landscape and modern equipment, the UM6P offers premium conditions for a desirable lifestyle. DESCRIPTION OF GSMI: GSMI (Geology & Sustainable Mining institute) aims to strengthen its industrial partnerships within and beyond Morocco and Africa by adopting an integrated and sustainable strategic vision of R&D and training. The institute focuses on various aspects of the mine lifecycle and aims to provide significantly higher added value. In addition to conventional mineral resources R&D, GSMI places emphasis on developing the mine of the future, which includes areas such as geo-mineralogy of mineral resources, circular economy, resource governance, sustainable management of water in mining, and integrated management of mine discharges. Furthermore, GSMI offers several state-of-the-art R&D platforms that are at the forefront of science and technology. These platforms serve as advanced research and development facilities for conducting cutting-edge research and exploring technological advancements in the field. Position Overview We are seeking a highly motivated Postdoctoral Fellow to join our dynamic team. you will be responsible for conducting research on climate variability assessment and hydrological modeling at the catchment scale. The selected candidate will engage in cutting-edge research that bridges the disciplines of climate science and hydrological modeling related to mine water management. Key Responsibilities Conduct advanced analysis of climate variability using a range of observational and modeled datasets to discern patterns, trends, and potential future scenarios. Develop and refine hydrological model tailored for specific catchments, incorporating the nuances of local land use, geomorphology, and climatic influences. Explore the use of advanced AI tools for climate and hydrological modeling. Evaluate the potential impacts of climate change and variability on water resources, flood risk, and drought susceptibility within targeted catchments. Contribute to writing comprehensive reports encompassing detailed analyses and conclusive results. Communicate findings through the publication of peer-reviewed papers, presentations at conferences, and stakeholder engagement sessions. Required Qualifications: A Ph.D. in Climate Science, Hydrology, Environmental Science, or a related field. Experience in machine learning or AI applications in hydro-climate studies. Strong background with GIS tools and spatial analysis techniques. Demonstrated expertise in climate variability assessment and the use of climate models. Experience with hydrological modeling at catchment scale, and familiarity with modeling tools. Proficient in statistical analysis and programming languages such as Python, R, or MATLAB. Strong written and verbal communication skills with a record of publications in reputed journals.

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.

POST DOC POSITION IN ENCAPSULATION OF ACTIVE MATERIALS FOR CARBON CAPTURE AND UTILIZATION – JOINTLY WITH UNIVERSITY OF WATERLOO, CANADA 12716 We are looking for a motivated PDRA candidate to investigate the encapsulation of active materials (liquids or solids) for developing innovative CO2 Capture and Utilization (CCU) processes. This position is motivated by the fact that many attractive options for CCU solvents suffer from their high viscosity, limiting thus the absorption kinetics. While benchmark alkanolamine-based aqueous liquids suffer from potential environmental impacts from solvent release. Encapsulating absorbents within polymer- and/or nanomaterial-based shells represents a promising solution. The successful candidate should elaborate novel solutions to encapsulate innovative solvents (e.g., Deep Eutectic Solvents, Ionic Liquids, Porous Liquids or bio-based solid materials) to enhance not only the chemical and thermal stability of the polymer shell and the filled beads but also the surface area of the functional shell. A particular attention will be also placed on the surface properties to tune the selectively of the shell to allow the permeation to specific gases, like the CO2, while prevent permeation of other species, like H2O. By following this strategy, encapsulated solvents (sorbents) should keep their own performance by taking advantage of the high surface area of the shell. The proposed beads should be both chemically and mechanically stable under typical industrial conditions moving from post-combustion process to direct air capture (DAC) technology. However, there will be a particular focus on DAC. Job Description : The successful candidate will carry out duties to the highest standard and will: Undertake original research of international excellence. Develop research objectives and proposals for own and/or collaborative research projects. Publish papers in leading journals and present research findings at national/international conferences, workshops, and meetings to effectively disseminate the results and contribute to successful research outputs. Communicate the development, progress and results of research activities to the team, Communicate the development, progress and results of research activities to the team to ensure that relevant information and issues in the implementation of projects/experiments are captured in as comprehensive and timely manner as possible.. Establish collaborative links with the core scientific personnel in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify areas of improvement within the research structure using integrated management approaches in pursuit of capacity building/strengthening and the preservation of scientific rigor in research studies. Support if required, the development of proposals for research funding. Candidate PROFILE : A PhD in Organic Chemistry, Polymer Science, or related subject. Expert in the interfacial phenomena and encapsulation of materials in solid or liquid state. Expert in the materials (polymers and nanomaterials) synthesis and characterization. Good knowledge in Thermodynamics and Fluid Phase Equilibrium are also requested. Knowledge about carbon capture technologies will be preferred  Associated Skills : Experience working on a project combining organic materials synthesis, purifications, and their characterization. Proven past experiences on the preparation and characterization of polymers and encapsulated materials. Ability to work independently and as part of a multidisciplinary and multicultural team. Proven ability of working with projects partners to reach their objectives timely. Excellent networking ability and organizational skills. Proven and distinct work experiences in academia and/or industries and/or abroad are highly requested. Ability to generate new ideas, links, and builds upon existing ones to generate unique concepts and solutions. Experience in co-supervision and coordination of masters and PhD level students. Excellent communication in both English and French languages.  Good publication track record in peer-reviewed journals with respect of the career development. Willingness to work on an international team and travel between Morocco and Canada. Team Members : UM6P – Dr. Johan Jacquemin University Of Waterloo (Waterloo) – Dr. Sushanta Mitra (Mechanical Engineering, Waterloo Institute for Nanotechnology), Dr. Milad Kamkar (Chemical Engineering, Waterloo Institute for Nanotechnology), Dr. XiaoYu Wu (Mechanical Engineering, Waterloo Institute for Nanotechnology) Program Details: UM6P will be the administrative body for the program, where candidates will apply to the UM6P Postdoctoral Program and will be formally employed as a Postdoctoral Fellow (PDF) by UM6P.  Candidates will be paid through the UM6P administration for the entire length of the program.  The salary is $2,000 USD/month (approximately $2,700 CAD per month), as guaranteed by UM6P for the entirety of the program. Waterloo co-supervisors may offer additional funding support to the candidates for their residency at Waterloo. The amount and duration of additional funding will be determined on a case-by-case basis. The program duration will normally be three years; during this time the residency will be split between the UM6P and Waterloo campuses. Candidates will spend a maximum total residency of two (2) years at Waterloo and a minimum total residency of one (1) year at UM6P. The details and schedule will be determined upon mutual agreement by the candidates and their respective UM6P and Waterloo co-supervisors.