Université de Toamasina

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The School of Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University, is hiring a Doctoral Researcher. In this position, you will work on a project funded by the Research Council of Finland to build a machine learning tool for predicting the atomic structure of surfaces. You will work under the supervision of the project leader, Academy Research Fellow Dr. Ondřej Krejčí, and collaborate with international experts in materials and surface science. Together, you will help advance this key scientific discipline, which directly impacts such important technological and societal topics as semiconductor devices and heterogeneous catalysis for green fuel production. You will be fully integrated within the DAS group, a vibrant and diverse research environment whose core expertise is the development of machine-learning-infused atomistic modeling techniques beyond the state of the art and their application to study important problems in chemistry, physics and materials science. The group has access to state-of-the-art supercomputing facilities (like LUMI) and is very well integrated within the scientific community internationally. More about our activities: https://miguelcaro.org. The position is fully funded. Informal inquiries about the position can be directed to Ondřej Krejčí (ondrej.krejci@aalto.fi). Please, read the description below in full before directly contacting us by email. Your role and goals You will develop data-driven and machine learning workflows for predicting how atoms rearrange on the surface of materials such as metal oxides and semiconductors. Knowledge of the precise atomic structure is important for understanding and predicting electronic and catalytic properties and thus to engineer the material surfaces better for their technological usage.  For training the machine learning models, you will generate datasets from electronic structure theory calculations. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools. You will also discuss tool development with AI and machine learning experts at Aalto University and share your results with experimental collaborators. The position is part of the Research Council of Finland project Towards Realistic Surface Structures (https://research.fi/en/results/funding/86328). A secondment to the group of Prof. Gareth Parkinson at the Technical University of Vienna is planned. In combination with the academic development courses at Aalto University, we will help you grow a competitive and international career profile. Your experience and ambitions We welcome candidates with a Master’s degree in (computational) chemistry, physics, or materials science who are curious about applied machine learning in the natural sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven materials science and machine learning in atomistic simulations. This project requires creative thinking and programming, as well as technical expertise in materials simulations, machine learning and a broad understanding of surface and material science. We further appreciate willingness to travel, teach and mentor, collaborate and communicate science. To succeed in this role, you should have: A Master’s degree (or equivalent*) in Chemistry, Physics, Materials Science, Mathematics, Computer Science, or a related field. (*You are required to have a degree that would allow you to enroll for a PhD program in the granting institution, e.g., a 1st hons BSc in the UK is also eligible.) Prior programming experience, especially with Python. While you are not expected to be an expert programmer, some hands-on experience in programming is mandatory. Note that it will be entirely possible to develop more advanced programming skills during the doctoral studies. A strong interest in atomistic simulations, machine learning, and scientific method and software development. Proficiency in English (written and spoken). (Preferred) Experience with any of the following: Electronic structure software (e.g., VASP, GPAW, FHI-aims). Molecular dynamics packages (e.g., LAMMPS, GROMACS). Machine learning interatomic potentials (e.g., GAP, MACE, ACE). Machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch. If you have experience with other types of modeling tools (e.g., FEM), please state it in your cover letter. Applicants must fulfill the eligibility and admission criteria for Aalto’s Doctoral Programme in Chemical Engineering as specified at Aalto Doctoral Programme in Chemical Engineering | Aalto University. If you feel you are interested and qualified for the position but are concerned about not fulfilling all the criteria, still feel free to apply. Take a look at this article in Forbes. What we offer  Aalto’s Department of Chemistry and Materials Science is a leading research environment in Finland for computational chemistry and materials science, with four groups specializing in different branches (Soft Materials Modelling, Computational Chemistry, Inorganic Materials Modelling, and Data-driven Atomistic Simulation). The fixed term contract is initially for 2 years with a possible 2-year extension after passing the midterm review. During the first 6 months you must apply and receive a right to study in the doctoral programme. Aalto University follows the salary system of Finnish universities. The starting salary for Doctoral Researchers is 3075 € / month (gross). The contract includes Aalto University occupational healthcare benefits. The position will be filled as soon as a suitable candidate is identified. The starting date for the position is in the Spring 2026, but the exact date can be agreed with the selected candidate. The primary workplace will be the Otaniemi Campus at Aalto University. Ready to apply? To apply for the position, please submit your application no later than 8.1.2026 including the attachments mentioned below as one single PDF document in English through the link ’Apply now’ link at the bottom of the web page. Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi) via Aalto University open positions. Letter of motivation (max 1 page): Include your name and email. Briefly motivate your interest in the position and explain how/to what extent you fulfill the requirements. Briefly mention any prior research experience you may have. Please, do not use ChatGPT or similar tools to prepare your cover letter for you. CV including list of publications (max 2 pages): personal and academic information, list of skills, projects, etc. Lying on your CV is immediate grounds for disqualification. If you are invited for an interview, you will be asked about information provided here. If you are eventually offered the position, you will be asked for a transcript of academic records. Contact details of at least two referees (or letters of recommendation, if already available) Applications sent via email will not be considered; only submissions through the online recruitment system are accepted.  Questions about the vacancy may be directed via email to Dr. Ondřej Krejčí (firstname.lastname(a)aalto.fi). About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

About us  The School of Education, Communication and Society is widely recognised for its research excellence in the areas of science and mathematics education, language, culture and communication, and public policy. The Policy Institute at King’s College London tackles society’s most pressing challenges by combining academic rigour, policy insight, and real-world expertise.  Together, we are seeking to appoint a Senior Postgraduate Research Officer who will make a substantial contribution to the effective support and ongoing development of our research student portfolio. This position offers an excellent opportunity for a conscientious and capable individual who values collaborative working and seeks to advance their experience in student support and research administration within a higher education setting. About the role  This role presents a fantastic opportunity for an individual looking to develop a career in higher education or within a research-led environment. As a Senior Postgraduate Research Officer, you will provide essential administrative support to postgraduate researchers as they progress through their PhD studies, helping to ensure the effective management and delivery of research degree programmes. The position is wide-ranging, involving responsibility for various administrative processes across the student journey – from pre-enrolment and induction through registration, progression, and graduation. You will work with a range of university systems, including student record databases, virtual learning environments, and financial reporting tools, applying best practice to maintain data accuracy and resolve issues as they arise. Collaboration is a key aspect of the role, as you will work across both the School of Education, Communication and Society, as well as the Policy Institute. You will engage with both academic and professional services colleagues within the faculty as well as with central teams such as Admissions Research Student Records, and the King’s Doctoral College. This is a part-time post (21 hours per week) and you will be offered an indefinite contract. The role operates on a hybrid basis, with time split between remote working and on-site attendance at our Waterloo campus (ECS) and Melbourne House (the Policy Institute). About you To be successful in this role, we are looking for candidates to have the following skills and experience:  Essential criteria Strong IT proficiency with extensive experience using a range of software tools, including Microsoft Office applications (Outlook, SharePoint, Word, Excel), and the ability to quickly learn and adapt to new systems and databases. Excellent interpersonal abilities, with confidence in engaging effectively with colleagues and stakeholders at all levels, and in developing productive working relationships across departments. Advanced written and verbal communication skills, with the capability to produce clear, accurate documentation and correspondence. Outstanding organisational skills, with the capacity to plan, prioritise, and manage multiple tasks efficiently to meet deadlines. Proven commitment to providing high-quality customer service, demonstrating clarity in communication and responsiveness to enquiries. Meticulous attention to detail, with a methodical approach and a strong focus on accuracy. Ability to manage multiple priorities simultaneously, working flexibly and using initiative and sound judgement when faced with competing demands. Experience in coordinating training sessions, workshops, or events. Desirable criteria Good numerical skills, with the ability to interpret and analyse data. Previous experience working within a Higher Education environment, particularly supporting postgraduate researchers, academics, or research staff. Familiarity with Higher Education systems, such as student record systems (e.g., SITS) or virtual learning environments (e.g., KEATS). Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information on what criteria will be assessed at each stage of the recruitment process. Further information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.  We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £39,076-£43,909 (pro-rata) per annum including London Allowance - 0.6 Full Time Equivalent (21 hours per week) Job ID: 133585 Close Date: 04-Jan-2026 Contact Person: Dr Fatimah Awan Contact Details: fatimah.awan@kcl.ac.uk

Job Title: IWRI - Postdoctoral researcher in Bioinspired circular conversion of multi-source biomass feedstocks for water-retentive agricultural systems Host Institute: Mohammed VI Polytechnic University (UM6P), International Water Research Institute (IWRI) Field: Bioinspired Chemistry, Sustainable Materials, Water & Soil Interfaces Project Overview The International Water Research Institute (IWRI) invites applications for a Postdoctoral Researcher to join an interdisciplinary research program dedicated to the development of bioinspired, circular-economy-driven materials for water retention, soil hydration, and sustainable agriculture. The project aims to design next-generation supramolecular materials derived from biomass for applications in water stress mitigation, nutrient retention, and soil regeneration. This work directly contributes to water scarcity resilience and climate-smart agriculture. Job Qualifications PhD in Chemistry, Materials Science, or a closely related field. Demonstrated experience in sustainable processing of multi-source biomass feedstocks and/or development of biobased/bio-inspired materials. Strong experience in Biopolymers, modification, and supramolecular assembly. Experience in developing biobased hydrogels or hydrated colloidal systems for water retention, soil improvement, or controlled release applications. Experience with biostimulants or eco-friendly soil conditioners is an asset. Hands-on experience with physicochemical characterization techniques such as FTIR, UV–Vis, XRD, DLS, SEM–EDS, TEM, TGA/DSC. Experience with greenhouse or laboratory experiments evaluating water retention, soil hydration, plant germination, or agronomic performance under water stress. Proven capacity to publish peer-reviewed scientific papers and deliver technical reports. Good publication track record in peer-reviewed journals. Strong communication skills in English (written and oral). Ability to work independently and as part of a multidisciplinary and multicultural team. Excellent networking ability and organizational skills. Experience in co-supervision and coordination of master/PhD students. Commitment to lab safety and research integrity. Key Responsibilities Conduct original, internationally competitive research on bioinspired materials, biostimulant matrices and water-retentive biobased systems for enhanced water–nutrient coupling. Develop nutrient (N, P)-enriched biostimulant matrices for enhanced water–nutrient coupling and improved plant nutrition. Design, synthesize, and optimize functional materials derived from renewable feedstock (marine and lignocellulosic) for applications in water retention, soil hydration, and nutrient stabilization. Conduct full physicochemical characterization: FTIR, UV–Vis, XRD, DLS, SEM–EDS, TEM, TGA/DSC. Prepare, submit, and publish high-impact peer-reviewed scientific articles, and present research findings at international conferences, workshops, and scientific meetings. Mentor and co-supervise Master’s and PhD students within the framework of research activities. Collaborate with internal and external researchers to reinforce interdisciplinary synergies across water sciences, materials chemistry, and sustainable agriculture. Communicate regularly with the research project team regarding the development, progress, challenges, and outcomes of research activities. Identify and implement areas of improvement within research workflows using integrated and statistical management approaches (DOE, optimization strategies) to strengthen capacity building and scientific rigor. Contribute actively to the preparation of research proposals for national and international competitive funding opportunities. Contribute to water-related innovation, technology transfer, and interdisciplinary projects at IWRI.   Application Procedure Interested candidates should submit: Cover letter Curriculum Vitae Research statement List of publications Two references