Developing the SAF sector is crucial for reducing aviation’s carbon footprint and achieving climate goals. Existing SAFs can reduce lifecycle greenhouse gas emissions by up to 80% compared to conventional jet fuel. This significant reduction is essential as aviation currently accounts for approximately 2% of global CO2 emissions – a figure which is set to […]
Read More
PhD – PROJECT TECHNICIAN – FOREST OPERATIONS – Portugal
CoLAB ForestWISE® opens one position for a Project Manager in the Forestry Operations Area, in the scope of the transForm Green Agenda – Digital Transformation of the Forestry Sector for a Resilient and Low Carbon Economy, supported by the Component 5 – Promotion of Sustainable Bioeconomy (PRR | C5 Agenda Notice No. 02/C05-i01/2022), through European […]
Read More
PhD – RESEARCH ENGINEER (F/M/D) FOR ELECTRIC VEHICLE POWER ELECTRONICS – Austria
Center for Energy develops sustainable solutions for the future energy system, taking into account technological, regulatory and economic requirements. The topic portfolio is based on three central systems: Public Energy Supply Systems, Industrial Energy Systems and Cities & Built Environment. As part of the international and interdisciplinary team “High Efficiency Power Electronics”, you will work […]
Read More
PhD – Student for the implications of Agentic AI in product development – Sweden
Agentic AI is an emerging technology that fundamentally changes product development and evolution. They seek to study the implications of Agentic AI with the intent of accelerating the adoption of the technology in the companies in Software Center. The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden with approximately 300 employees […]
Read More
PhD – Candidate in Artificial intelligence guided materials discovery and design – Norway
NTNU is seeking a 3-year PhD candidate to join our cutting-edge research in materials discovery and design, focusing on materials for a wide range of applications. This position involves leveraging advanced artificial intelligence techniques to accelerate the design and optimization of materials that can enhance performance, efficiency, and sustainability across various technologies. The successful candidate […]
Read More
PhD – Formal Verification with Intelligent Agents – Luxembourg
The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. They are seeking a highly motivated PhD candidate to research how artificial intelligence (AI) techniques can help software engineers formally specify and verify software systems. State-based and machine-based formal methods […]
Read More
PhD – Position Computationally Efficient Modeling to Evaluate Energy Market Organisation – Netherlands
This PhD position is part of the research project MODES (Market Organisation of the Dutch Energy System), which is funded by the Dutch Research Council within the framework of the National Research Agenda programme. The position is embedded in an interdisciplinary research team composed of researchers in engineering, economics, law and public policy from seven Dutch universities, […]
Read More
PhD – Candidate in Scientific Machine Learning for Ice Run Forecasting – Norway
NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. This PhD project aims to improve the prediction of ice runs – sudden downstream movements of river ice – that pose a threat to civil infrastructure such as bridges, roads, and […]
Read More
Research assistant position in the scientific project SPatial Analysis of Cancer Evolution in the Tumour Immune MicroEnvironment – Poland
The work of the offered PhD position will focus on the development of novel artificial intelligence methods or probabilistic graph models for modeling multimodal spatial lung cancer data. In particular, we are interested in proposing new models able to combine knowledge from multiple datasets of spatial tissue measurements, taking into account the temporal dimension (measurements […]
Read More