Lutherische Theologische Hochschule Oberursel

Classification: Academic Level B Salary package: $121,598 - $137,870 per annum plus 17% superannuation Terms: Full Time, Fixed term (up to 24 months) Position Description and Selection Criteria: Research Fellow Work with world leading researcher in computer vision and machine learning Contribute to impactful research on real-world problems in 3D shape design Collaborate with international researchers at ANU, Australia and EPFL, Switzerland About the opportunity The Research Fellow will contribute to the ARC Discover Project, "Differentiable Optimisation for Constrained Three-dimensional Shape Design." The successful candidate will work under the supervision of Prof Stephen Gould and Dr Dylan Campbell to develop novel techniques for designing constrained 3D shapes, such as airfoils, using a framework of differentiable optimisation. The project involved collaboration with researchers at EPFL, Switzerland and may involve travel to meet with the research team there. It is expected that research leads to high impact outcomes including publications in top-tier venues and open-source software. Successful candidates will also work along side PhD students working on related problems in computer vision and machine learning, and contribute to their development. A strong background in numerical optimisation, deep learning and computer vision is required. About the School The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built on a diverse, inclusive culture. About the College As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College of Systems and Society (CSS) hosts many of the key disciplines necessary to help us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College is to strengthen our national mission and meet our unique responsibilities as Australia’s national university. We will deliver on our mission by building a strong community, providing transformative educational experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation. We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective. CSS is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College is comprised of the School of Computing, School of Cybernetics, School of Engineering, Fenner School of Environment & Society, Mathematical Sciences Institute, and the Australian National Centre for the Public Awareness of Science, supported by the Professional Services Group. Enquiries To enquire about this role, please contact Stephen Gould, Professor of Computer Science, T: +61 2 6125 8642 or E: stephen.gould@anu.edu.au.  Our commitment to diversity, belonging, inclusion and equity ANU is committed to building a diverse and inclusive community, and particularly welcomes applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. Furthermore, it is practice in the ANU College of Systems & Society to actively seek a gender mix of shortlisted candidates for interview. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion    We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break, had career disruptions or who have achieved excellence in careers outside of the higher education sector. We support applicants who require flexible arrangements in their work environments or patterns. If your experience looks a little different to what we’ve described, but you’re passionate and motivated by this position, we welcome your enquiry and application.  For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. What we offer The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. We also offer generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au/human-resources   How to apply Applicants must apply online via the ANU recruitment portal and should upload the following separate documents:  A detailed curriculum vitae (CV) including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form.  A 1-page statement addressing the selection criteria.  A 1-2 page statement outlining your approach to coursework education and student project supervision.  A 1-2 page statement outlining your research objectives for the next 3 years if appointed Other documents, if required.  Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing date: Sunday, 8 March 2026, 11:55 PM (AEDT)

About UM6P: 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. About CRSA: CRSA is a transversal structure across several UM6P Programs. Research within the center is organized around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and humans, with emphasis on sustainable management of natural resources (soil, land, water, agriculture) in the context of Climate Change. One of center’s goals is to provide a set of services and operational products to users (local, national and international) that aid in the decision support of water and food systems. About IsoTrace: Within the framework of the IsoTrace project, our team aims to rethink and adapt research, development, innovation and training to new paradigms to meet the future challenges for water sustainability. Job description: The IsoTrace team is seeking a highly skilled and motivated Postodoctoral Scientist with advanced expertise in isotope-enabled ecohydrological modeling. We are looking for an early career scientist who is passionate about unraveling the intricate connections between water resources, ecosystems, and climate dynamics. This cutting-edge postdoctoral research opportunity in Morocco will spearhead groundbreaking research at the intersection of isotopes, ecohydrology, and modeling mainly in the continuum water-soil-plant-atmosphere. Key Responsibilities: Develop and calibrate isotopic tracers to understand water sources, transport processes, and ecosystem interactions. Integrate isotopic data with ecohydrological models to assess the resilience of Moroccan water systems under changing environmental conditions. Play an active role in supervising and providing guidance to PhD students who are actively involved in ecohydrological modeling research. Conduct laboratory analyses and field work. Collaborate with local researcher from the college of agriculture, mainly IWRI and CRSA, as well as institutions and stakeholders to translate research findings into actionable water management strategies. Qualifications: Ph.D. in Hydrology, Environmental Science, Earth Sciences, or related fields. Strong background in isotope hydrology, ecohydrology, and modeling techniques. Experience in fieldwork, data analysis, and scientific writing. Excellent communication skills and a collaborative spirit. Demonstrated track record of scientific publications.

About Mohammed VI Polytechnic University (UM6P) Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa, UM6P aims to position these fields as the forefront and become a university of international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors, and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research teams. The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems. About the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green Process Engineering Department (CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international level, to meet the research and teaching challenges of UM6P, on green and environmental chemistry applied to all aspects of chemical sciences: organic and inorganic chemistry, analytical chemistry, chemical biology, biochemical and thermal reactions. Research at CBS is organized around several major areas, which aim to answer challenging industrial questions, from complex chemical and biochemical reactions to scale-up and validation of process engineering. CBS projects aim at an in-depth understanding of the molecular mechanisms of all transformations in order to propose new original alternatives in terms of efficiency, environmental friendliness and sustainability. Position Overview We invite outstanding applicants whose research lies at the intersection of Artificial Intelligence and Chemistry. The successful candidate will develop a competitive research program, contribute to teaching at the undergraduate and graduate levels, and engage in collaborative projects with faculty, students, and industrial partners. The scope of the position is intentionally broad and may include (but is not limited to): Machine learning for molecular and reaction property prediction AI-based reaction modeling and retrosynthetic analysis Data-driven approaches to spectroscopy and structural analysis Cheminformatics and chemical data mining Computational catalysis or process optimization AI applications in analytical, organic, inorganic, or physical chemistry Automation in chemical experimentation or chemical robotics The selected candidate will be free to shape the balance between research, teaching, and collaborative innovation, based on their strengths and interests. During the selection process, applicants will be given the opportunity to express their preferred profile: Research-intensive: Focused on high-level research with light teaching duties Balanced: Combination of impactful research and active teaching Teaching-focused with applied research: Heavier involvement in curriculum development and hands-on educational innovation Qualifications Required: Ph.D. in Chemistry, Artificial Intelligence, Computer Science, Chemical Engineering, or a related field. Demonstrated ability to apply AI or machine learning tools to problems in chemistry. Strong publication record in reputable journals or conferences. Excellent written and oral communication skills in English. Desirable: Postdoctoral or equivalent academic or industrial experience. Experience in handling chemical datasets and tools (e.g., RDKit, DeepChem, Gaussian, ORCA, ChemML). Knowledge of modern machine learning techniques (e.g., deep learning, graph neural networks, generative models). Interest in interdisciplinary research and/or real-world applications. Responsibilities Develop and lead a research program at the AI–Chemistry interface. Teach courses related to chemistry, machine learning, or data-driven science. Supervise MSc and PhD students and contribute to curriculum development. Collaborate across departments and with external partners. Participate in the university’s broader mission of innovation and knowledge transfer. Application Process Candidates are invited to submit the following documents as a single PDF file: Cover Letter (including statement of motivation and preferred profile: research-intensive, balanced, or teaching-oriented) Curriculum Vitae (with list of publications) Research Statement (2–3 pages) Teaching Statement (1 page) Contact information for three referees (or letters of recommendation)