Sciences Po

Position Overview: We are seeking a highly qualified Postdoctoral Researcher to join its multidisciplinary research team working at the intersection of Artificial Intelligence (AI), Metabolomics, and Precision Health. The project aims to leverage AI and machine learning (ML) to analyze complex metabolomics datasets and address key health challenges, including biomarker discovery, disease classification, patient stratification, and personalized therapeutic strategies. The successful candidate will contribute to high-impact research projects focusing on metabolic diseases, cancer, neurodegenerative disorders, and microbiome-related health issues by applying advanced AI/ML techniques for biomarker discovery and metabolic network modeling. Scientific Challenges Addressed in the Position: High-dimensionality and complexity of metabolomics data, requiring advanced AI/ML techniques for robust analysis and interpretation. Integration of multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to achieve systems-level insights into disease mechanisms. Identification and validation of clinically relevant metabolic biomarkers for early disease detection, prognosis, and treatment response monitoring. Reconstruction of metabolic networks and pathway analysis to understand disease-specific metabolic reprogramming. Tackling data sparsity, batch effects, and heterogeneity in clinical metabolomics datasets. Developing explainable AI (XAI) models to facilitate clinical decision support systems (CDSS) and enhance trustworthiness in healthcare settings. Addressing longitudinal and time-series data analysis for monitoring disease progression and treatment outcomes. Key Responsibilities: Develop and implement AI/ML pipelines for feature selection, dimensionality reduction, and predictive modeling using metabolomics data from clinical studies. Apply deep learning models (e.g., autoencoders, variational autoencoders, graph neural networks) for biomarker discovery, disease classification, and patient stratification. Integrate multi-omics datasets to identify metabolic signatures and elucidate pathway-level alterations associated with disease phenotypes. Perform network-based analysis and reconstruction of metabolic pathways to uncover functional mechanisms underlying health and disease. Contribute to the development of personalized medicine strategies, including precision diagnostics and predictive models for treatment response. Collaborate with experimental teams, clinicians, and biostatisticians to validate computational findings in clinical cohorts. Publish research findings in peer-reviewed journals and present at international conferences. Mentor graduate students and contribute to building capacity in AI and health data science at UM6P. Required Qualifications: Ph.D. in Bioinformatics, Computational Biology, Data Science, Artificial Intelligence, or a related field with applications in healthcare and metabolomics. Strong experience in machine learning, deep learning, and AI frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of metabolomics data analysis, including LC-MS, NMR data preprocessing, normalization, and feature extraction. Familiarity with multi-omics data integration, biomarker discovery workflows, and metabolic pathway enrichment analysis (e.g., KEGG, HMDB, Reactome). Experience with statistical modeling and multivariate analysis techniques (e.g., PLS-DA, PCA, random forest classifiers). Proficiency in programming languages such as Python, R, and experience with bioinformatics pipelines. A proven track record of scientific publications in metabolomics, AI, or computational biology journals. Excellent communication and teamwork skills, with the ability to collaborate in multidisciplinary and clinical research settings. Application Process: Interested candidates should submit the following documents as a single PDF: A cover letter describing research interests, motivation, and relevant experience. A detailed Curriculum Vitae (CV) including a list of publications. Contact details for two academic referees.

Overview of the UM6P and MSN department Located at the heart of the future Green City in 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 Materials Science and Nano-engineering (MSN) department has an interdisciplinary vision based on the competence of its researchers and the relevance of the developed research themes/programs designed to meet different national and global issues. MSN develops high-level basic and applied research in Materials Science and Nano-engineering. The developed research areas in MSN are at the borders of all aspects related to materials science. To achieve this challenge, MSN has adopted a research strategy and a clear vision, based on the following research axes: Energy Transition Smart and Functional Materials Circular Materials Advanced Materials Simulation Position Announcement Job Title: Assistant Professor in Process Simulation, LCA, and LCC Analyses Contract: Permanent position The selected candidate will work closely within the Advanced Materials Simulation Cluster Place: UM6P – MSN Department – Advanced Materials Simulation Cluster Contact: Pr. Johan Jacquemin – johan.jacquemin@um6p.ma Research Activities Develop independent research programs in Process Simulation using Aspen or eq., Life Cycle Assessment (LCA), and Life Cycle Costing (LCC) analyses. These programs should align with the Process Optimization and Sustainability Cluster roadmap, focusing on: Process modeling, simulation, and optimization for chemical, energy, and environmental systems using Aspen Plus, Aspen HYSYS, and other advanced process simulators Life Cycle Assessment (LCA) for evaluating environmental impacts of products and processes, including carbon footprint, energy consumption, and resource efficiency Life Cycle Costing (LCC) for economic evaluation and sustainability assessment of industrial systems Development of integrated Techno-Economic Analysis (TEA) frameworks for sustainable process design and optimization Collaborate with interdisciplinary teams to provide holistic solutions for process efficiency, environmental sustainability, and economic viability Publish research findings in high-impact peer-reviewed journals and present at national and international conferences Pursue external research funding through competitive grant proposals Teaching activities Teach graduate and undergraduate courses related to Process Simulation, Process Optimization, LCA, and LCC, , across various UM6P teaching programs including the Bachelor, Doctoral Training Center (DTC), and Executive Education programs. The annual teaching load is 100 hours. Supervise graduate students working on master's or PhD theses related to process design, sustainability assessments, and economic analysis Provide academic advising to students, guiding them in course selection, research directions, internships, and career development in process engineering and sustainability Academic and Industry Partnerships Establish collaborations with other faculty members, research institutions, and industries to promote interdisciplinary research and technology transfer in process simulation and sustainability Engage with industry partners to align research projects with real-world challenges, fostering opportunities for industrial applications and commercialization of sustainable process solutions Contribute to the development of strategic research initiatives within the Advanced Materials Simulation Cluster Required Qualifications PhD in Chemical Engineering, Process Engineering, Environmental Engineering, or a closely related field with a strong focus on process simulation and sustainability analysis Experience in teaching undergraduate or graduate courses related to process simulation, LCA, or process optimization, in both French and English. Teaching assistant or instructor roles are acceptable. Extensive experience in Aspen Plus, Aspen HYSYS, or other advanced process simulators for modeling and optimizing chemical processes Proven expertise in Life Cycle Assessment (LCA) methodologies, including software tools such as GaBi, SimaPro, or OpenLCA Strong background in Life Cycle Costing (LCC), Techno-Economic Analysis (TEA), and sustainability assessments Proven track record of independent research in process simulation and sustainability, demonstrated by publications in high-impact peer-reviewed journals Familiarity with high-performance computing (HPC) environments for process simulations and optimizations A commitment to pedagogical innovation and the ability to mentor and engage students in active learning environments Preferred Qualifications More than 5 years of experience in process simulation, LCA, and LCC analyses (including PhD, postdoctoral, or industrial research experience) Demonstrated experience in interdisciplinary collaboration with industry for sustainable process design and optimization Strong communication skills and a track record of successful grant writing and project leadership Applicants should submit Cover letter outlining research experience, achievements, and research interests Curriculum Vitae List of publications Names and contact information of three external referees (who are not current UM6P faculty) Letters of recommendation from peers in the discipline

Join a growing Environmental Planning programme Teach, research and shape planning in Aotearoa NZ Collaborative School of Arts with strong student success Ngā kōrero mō te tūranga - About the role Our Environmental Planning programme has been proactive and effective in growing both research income and student numbers, so we are looking for an additional team member to support this growth. The programme has a vibrant student and staff culture, underpinned by a commitment to excellence and demonstrated through student success, research achievements and industry recognition. Te Kura Toi School of Arts is seeking a full-time Lecturer or Senior Lecturer in Environmental Planning. The role will contribute to teaching, postgraduate supervision and administration within the Environmental Planning programme, maintain and develop original scholarship and research, and undertake professional, community and iwi service activities relevant to the profession or discipline. We require your expert knowledge of Environmental Planning, with experience relevant to the level expected of Lecturer or Senior Lecturer. The four pillars of the role require: Teaching and Learning: Preparing and delivering innovative, research-informed lectures and assessing student learning Supervision: Supervising honours, graduate and postgraduate students Research: Building and maintaining an active research programme, conducting quality research and contributing to knowledge development in your specialist areas through scholarship and publication Service and Administration: Carrying out administration and service relevant to the role Salary will be in the range of $92,603 to $148,799 per year based on the skills, knowledge and experience you bring to the position. This is a full-time role (37.5 hours a week), based on our Hillcrest Campus. For more information on the role please see the position descriptions for a Lecturer and Senior Lecturer. For a confidential conversation about the role, please contact Professor Silvia Serrao-Neumann in Environmental Planning at silvia.serrao-neumann@waikato.ac.nz. All applications need to be submitted online via the apply here function. Ko wai koe? - Who are you? You will have the ability to contribute to Environmental Planning through broad and in-depth knowledge of environmental planning theory and practice. Relevant areas may include resource management and planning within the Aotearoa New Zealand regulatory context, urban economics, urban design, housing, transport or disasters. We expect a research and scholarship record that is appropriate to the position sought. You will also demonstrate either significant potential to, or a proven track record of, attracting external research funding. You will have experience in undergraduate teaching and postgraduate supervision, along with a proven ability to communicate effectively with students and staff. You will also demonstrate a commitment to innovative teaching methods and contribute to our culture of openness, flexibility and cooperation to achieve excellence in academic programmes, research and service. Ko wai mātou? - Who are we? The role of Te Kura Toi School of Arts is to teach at undergraduate, postgraduate and experiential (internship and externship) levels in the fields of Arts, including Environmental Planning, Humanities, Music, Media and Creative Technologies, and to undertake research in these areas. The school offers a range of papers in Arts at undergraduate, postgraduate and professional training levels. He aha ngā take me tono mai ai koe? - Why should you apply for this position? We want you to be part of our success. Our University stands proudly on the world stage as a provider of future-focused, international education and an active player in global research. Our rankings reflect these strengths. Working with us means you will enjoy a satisfying work environment with many benefits. The University of Waikato is distinctive for the diversity of its staff and students and encourages applicants with the relevant capabilities from all backgrounds to apply. All applications need to be made online and applicants must be legally allowed to live and work in NZ in accordance with NZ Immigration regulations, which can be found here. Ko te Tangata - For the People The University of Waikato prides itself on the quality of its engagement with the communities it serves, the provision of a world-class education and the national and international impact of its research. Our policies are guided by the principles of the Treaty of Waitangi and equal opportunity for all. E herea ana te Whare Wānanga ki te kaupapa kia whakaratohia te mea angitū ōrite ki ngā tāngata katoa. Applications close on Tuesday, 7 April 2026 Requisition number: 1003097