Duration: 1 y
Duties: The project entails the creation and analysis of an innovative database of sustainability initiatives of a sample of Italian manufacturing SMEs, with a particular focus on sustainable procurement practices. This database will include the output of the LowCarbPMI questionnaire of the GRINS project. The winner will be responsible for integrating these data with additional information from AIDA and Refinitiv, and will also contribute to data analysis. Furthermore, the winner will participate in conducting interviews with a sample of SMEs in the furniture sector, analyzing them through qualitative tools; draft intermediate reports; participate in meetings and training sessions of the GRINS project; secs-p/08 - economia e gestione delle imprese
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: AEE - Institute for Sustainable Technologies (AEE INTEC) was founded in 1988 and is today one of the leading European institutes of applied research in renewable energy and resource efficiency. In the three target group areas "Buildings", "Cities & Grids" and "Industrial Systems" as well as three technological working groups "Renewable Energies", "Thermal Storage" and "Water and Process Technologies", the R&D projects carried out range from basic research projects to the implementation of demonstration plants
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Duties: Das Universitäts-Kinderspital beider Basel (UKBB) ist ein eigenständiges, universitäres Kompetenzzentrum für Kinder- und Jugendmedizin sowie für Lehre und Forschung. Als eines der drei selbständigen Kinderspitäler der Schweiz spielt das UKBB eine zentrale Rolle bei der Sicherstellung der kantonalen, regionalen und überregionalen kinder- und jugendmedizinischen Gesundheitsversorgung
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Duties: für Studierende und Absolventen, Erfahrene; alle Disziplinen
Requirements: kann auch für Stellengesuche verwendet werden

Duties: The Swiss National Science Foundation (SNSF) funds excellent research at universities and other institutions; from chemistry to medicine to sociology. Thousands of teams are generating knowledge for a better future for all. Together with our partners, we play a key role in shaping research in Switzerland
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Duties: Conceive, develop, and deploy robotic and automation software solutions for advanced manufacturing applications and perception-driven solutions; Design, build, debug and implement robotic and automation solutions. Spec, develop pipelines, and implement on hardware perception and perception enabled solutions for high mix environments; Develop and test advanced software solutions for manufacturing and industrial processes and technologies; Assist in preparing proposals and cost estimates. Meet with customers to promote new business and develop technical requirements
Requirements: Requires a Bachelors, Masters, or a PhD in Robotics, Mechanical Engineering, Electrical Engineering, Software Engineering, or Computer Science or similar (PhD requires 0 years, MS requires 1, and BS requires 2); 2 years experience: Development of electromechanical and robotic systems from concept to deployment (full spectrum of robotic solution development); Development work using C, C++ or python

Duties: Perform engineering design and analysis of complex fluid flow systems in support of validation testing or other research studies for external and internal customers; Use of Creo and/or SolidWorks preferred; Conduct evaluations and reviews of system designs with a mind for safe operation of high temperature/pressure systems; Communicate with clients to arrange for conducting experiments and testing including quoting/bidding the cost to test based on their requirements; Coordinate with the team of engineers and technicians to execute all preparation, safety assessment, setup, testing, and data processing tasks needed for each project; Ensure strict adherence to test procedures and safety protocols to maintain compliance with the Quality Management System, and work with the team to document and close any non-conformances
Requirements: Requires a Bachelors in Mechanical Engineering or directly related engineering degree; summer internship or undergraduate research in the area of: petroleum systems, complex fluid flow systems, fluid rheology or similar field

Duties: Develop models for fluid thermal systems using 1D finite volume of finite element principles. This may include the use of off the shelf software such as Hysys, NPSS, or fluent; Develop and validate simulations for control strategies for fluid thermal systems using 1D finite volume of finite element principles. This may include the use of off the shelf software such as Hysys, NPSS, or fluent; Develop improved or optimized piping system designs/improvements for existing or planned systems based off of model feedback; Run cycle analysis and optimize cycles for refrigeration and power generation
Requirements: Requires a Bachelors, Masters or a PhD in Mechanical Engineering. experience in Thermal fluid system modeling and control background. Graduate experience in developing model and control algorithms for thermal fluid piping systems is preferred

Duties: Conduct fluid system modeling for applications in launch vehicles and turbomachinery using engineering software; Be a solution-oriented problem solver that exercises creativity and independent judgement in determining approaches to solve a wide range of technical problems with moderate supervision; Write technical reports, papers, proposals and prepare technical presentations for client meetings and conferences; Design, analysis, and test support for fluid/thermal projects within the Department, such as combustion, turbomachinery primary and secondary flows, aerodynamic design, supercritical CO2 power systems, heat exchangers, gas system design and modeling
Requirements: Requires a Bachelors in Mechanical Engineering, Aerospace Engineering, or related engineering degree; 0-5 years expierence in conducting fluid and thermal systems analyses using commercial software, such as flow network solvers or computational fluid dynamics (CFD) solvers

Duties: Die Stelle ist Teil des DFG Forschungsprojektes "Gruppoidmodelle für Diagramme von Gruppoidkorrespondenzen und ihre C*-Algebren“
Requirements: Wissenschaftliches Hochschulstudium (Master in Mathematik oder äquivalent); Spezialisierung in einem der Bereiche Operatoralgebra, dynamische Systeme, Topologie, Gruppoide, höhere Kategorientheorie, Nichtkommutative Geometrie; Einschlägige Sprachkenntnisse in Deutsch oder Englisch

Duties: Successful candidates will carry out research in the area of Smart European Electricity Markets, making a contribution to a successful energy transition in Luxembourg and the EU. As such, the candidate will also be involved in various (inter-)national initiatives and engage with different (political) decision makers to shape future markets in Europe. Candidates will have the opportunity to investigate a broad range of research areas and design an individual research portfolio with high policy impact. As such, successful candidates will be able to align the skills that they learn pursuing a doctorate with their personal goals and interests
Requirements: Master’s degree in Energy Policy, Energy Economics, Mathematics, Operations Research, or a related field; Strong knowledge of quantitative and/or computational research methods, ideally optimization and simulation models or forecasting/econometric analysis; Proficiency in one of the major programming languages such as Python; A collaborative team player with a desire to make a personal impact within our interdisciplinary research group and our broader economy and society

Duties: Impegnarsi nell'integrare le descrizioni qualitative con i modelli quantitativi nell'ambito della pianificazione dei sistemi energetici; Sviluppare e suggerire approcci innovativi per l'analisi e la creazione di modelli relativi alle politiche basate su dati quantitativi; Analizzare molteplici scenari di transizione energetica su scala regionale, considerando i compromessi sociali, l'incertezza e gli effetti di lock-in; Pubblicare i risultati della ricerca su riviste accademiche peer-reviewed e presentare a conferenze pertinenti
Requirements: Laurea specialistica o dottorato in ingegneria, scienze ambientali, statistica applicata, informatica o un campo correlato; Interesse per la modellazione di sistemi multi-energetici, per le politiche basate su modelli e dati, per il processo decisionale in condizioni di incertezza, per il lavoro con dati e statistiche nazionali e regionali in un ambiente multidisciplinare, per gli strumenti visivi per la pianificazione partecipativa

Duties: The topic is fundamental fluid mechanics, best suited for a candidate with a background in fundamental (rather than industrial) topics in applied mathematics, oceanography, or mechanical (coastal/ocean) engineering. The detailed topic deals with the physics-oriented theoretical/numerical modelling of a complex system; for instance, the coupling between nonlinear surface waves and shear currents, or fluid and structure (e.g., floating ice, microplastics, or the next generation offshore wind turbines) interaction
Requirements: Applicants must hold a master's degree or equivalent education in applied mathematics, oceanography, fundamental mechanics, marine technology, coastal/offshore engineering or similar engineering fields; Good mechanics, physics, and mathematics background is a requirement; Documented experience (for example, a course project or tasks for the master thesis) demonstrating a good level of programming proficiency in one of the languages, e.g., MATLAB, Python, C++ or similar, is a requirement

Duties: Are you looking for a student job during the school holidays? Are you curious to explore the fascinating and exciting world of research? The Luxembourg Institute of Socio-Economic Research (LISER) might have the right mission for you
Requirements: You are between 15 and 26 years old; You are enrolled on a full time-basis in a Luxembourgish or foreign educational establishment, or have graduated less than 4 months ago; You are fluent in English and speak at least one of the official country languages (French, German or Luxembourgish)

Duties: Apply state-of-the-art machine learning software solutions for various artificial intelligent system applications; Interact with team members to discuss technical solutions to problems; Develop tools and techniques to improve our team's research and development capability; Interact with clients (and potential clients) to discuss and propose technical solutions to unique problems
Requirements: Requires a Bachelors, Masters, or a PhD in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field Classes, projects, or training in perception (computer vision/image processing, LIDAR and/or radar) software solutions for various intelligent system applications Classes, projects, or training in C++, python, and ROS experience required

Duties: Collect, manage and clean datasets; Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data; Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements; Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions; Develop reports, charts, graphs and tables for use by investigators and for publication and presentation
Requirements: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering

Duties: The junior group in Imaging AI develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating bleeding edge algorithms from fundamental AI and imaging research closer to a concrete biomedical application
Requirements: Master’s degree in computer science or related discipline; Strong interest in applied machine learning, including but not limited to deep learning; Strong interest in image analysis/computer vision and pattern recognition, including but not limited to biomedical applications, in particular for neuroscience; Experience utilising GPU enabled High-Performance Computing environments is an asset; Experience with recent deep learning frameworks (e.g. Pytorch, MONAI) and programming languages (Python, MATLAB) are an advantage

Duties: Project: "Localization and mapping for multi-robots in underground mines, caves and lunar lava tubes"
Requirements: The candidate should possess an MSc degree or equivalent in Computer Science or Robotics engineering. We expect a candidate who is passionate about robotics and looking forward to developing her/his skills in robotics further in challenging terrestrial and space environments

Duties: Develop novel methods for uncertainty quantification in deep learning; Work with state-of-the-art nerual network architectures applied to molecular data; Publish scientific papers and present research results in top machine learning conferences such as NeurIPS, ICML, UAI, and AISTATS; Assist in machine learning teaching and supervision
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; Proven experience in Bayesian methods, probabilistic modeling, and probability theory; A strong grasp of the theoretical foundations and practical implementation of Markov chain Monte Carlo (MCMC) methods; Proven experience with implementing machine learning methods in Python and Pytorch/Tensorflow

Duties: The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University of Luxembourg was founded in 2003 and is the only public university in the Grand Duchy of Luxembourg. Our strategic development areas are digital transformation, medicine and health, and sustainable and societal development
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Duties: LISER's specific mission, in accordance with the Law of December 3, 2014 on Public Research Centers, is to: carry out basic and applied research activities in the social sciences with the aim of advancing knowledge, informing the actions of public authorities and socio-economic actors at the national and international level in relation to the social and economic fabric and spatial development as well as informing society
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Duties: The University of Padua is one of Europe’s oldest and most prestigious seats of learning. As a multi-disciplinary institute of higher education, the University aims to provide its students with professional training and a solid cultural background. The qualification received from the University of Padua act as a symbol of the ambitious objectives respected and coveted by both students and employers alike
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Duties: Work with multidisciplinary team of engineers, software developers, and technicians in the execution of complex research and development, design and programs in support of national security; Design, develop, integrate, test and deploy new signal processing capabilities in the areas of energy detection, channelization, signal recognition, signal demodulation/decoding & encoding/modulating, RF geolocation and electronic warfare; Work with a team of engineers, software development staff and technicians to create innovative solutions that include antenna arrays, RF processing hardware, and extensive software processing capabilities including application of machine learning techniques
Requirements: Requires a Bachelors in Electrical Engineering, Electrical and Computer Engineering, or Computer Engineering; Must be familiar with telecommunications and communications signal processing with understanding of radar system concepts and waveforms; Over-the-horizon radar (OTHR) processing experience; Proficiency with Linux and C/C++ required; Familiarity with Python and Matlab

Duties: Graz University of Technology is a public research university located in Styria, Austria. It was founded in 1811 and is the oldest science and technology research and educational institute in Austria. It currently comprises seven faculties and is a public university. It offers 19 bachelor's and 35 master's study programmes (of which 18 are in English) across all technology and natural sciences disciplines
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Duties: We tackle future issues and take responsibility for the entire region of Southern Austria. With 30, 000 students and 4700 employees, we make a decisive contribution to the vibrant life of the Styrian capital. We work for tomorrow - this motto guides the students and scientists at the University of Graz: They look to the future, take on challenges and develop solutions for the world of tomorrow
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