This research explores how AI agents can enhance software development by effectively reusing existing software within complex ecosystems. It aims to create techniques and tools to improve the discovery, adaptation, and reuse of software assets, ensuring reliable development processes in enterprise environments through collaboration with ING.
Faculty of Electrical Engineering, Mathematics & Computer Science€3204 - €4051/month
This doctoral project focuses on developing integrated power electronic converters for space applications, utilizing GaN technology to design point-of-load (PoL) converters. The research includes circuit design, health-monitoring systems, and collaboration with institutions like imec and the University of Oviedo, addressing challenges in power conversion for future space missions.
Department of Electronics and Information Systems€56,640/year + €7,920/year (family allowance if applicable)
The specific research project is not detailed in the provided information. However, Umeå University focuses on addressing societal transformations and sustainability in northern Sweden, suggesting potential research in climate change or social science. Candidates are expected to have relevant educational qualifications and a strong interest in societal development.
This PhD project focuses on data-driven epidemiology and the biology of infection, employing computational analysis and predictive modeling to understand pathogens and their interactions with hosts. The research aims to develop novel software for analyzing complex biological data, emphasizing strong programming skills, particularly in Rust.
This PhD project focuses on reducing fatalities from oesophago-gastric cancer through research on medications affecting tumor occurrence and recurrence risk. The candidate will analyze data from a national cohort of patients post-surgery and from Nordic health registries, requiring strong skills in biostatistics and research methodology.
This PhD project addresses the challenges of continuous compliance across organizational boundaries in software-intensive systems, focusing on automation and AI to streamline compliance activities. The research aims to identify pain points and develop strategies that facilitate coordinated compliance in collaborative environments, involving empirical work with partner companies.
This PhD project addresses the challenge of continuous regulatory compliance in software-intensive product development, in light of new regulations like the EU Data Act and AI Act. The candidate will develop frameworks and solutions that integrate compliance into the product lifecycle, using design science and case studies with industry partners.
This research project focuses on synthesizing metal and metal oxide nanoparticles via aerosol-phase methods for photocatalytic CO2 reduction. The approach is solvent-free, allowing for precise control over particle properties. Candidates will utilize various analytical techniques to characterize these nanoparticles and optimize their photocatalytic activity for converting CO2 into useful products.
This project focuses on preterm birth, aiming to develop a continuous risk stratification framework for lung disease in infants using machine learning. By analyzing a variety of data from the Basel-Bern Infant Lung Development cohort, the PhD student will integrate clinical and environmental data to identify early-life signatures associated with respiratory outcomes.
The project focuses on research in historical theology, examining older and/or modern history of Christianity as part of a dissertation project. Responsibilities include supporting professorships in teaching and research, co-supervision of students, and participating in departmental administration. A background in theology or interreligious studies is required.
This research investigates the interactions between leukemia stem cells (LSCs) and immune cells in acute myeloid leukemia (AML) to understand their role in disease progression and treatment resistance. The project employs multi-omics techniques and preclinical mouse models to identify targets for new immunotherapy strategies. Candidates should have a background in biological sciences or related fields.
This PhD project will explore Norway's relationship with the EU, focusing on the implications of differing integration models. Research can compare Norway to other non-EU states or examine specific areas like justice and migration policy. Candidates should demonstrate strong analytical skills and a solid understanding of research design and methodology.
ARENA Centre for European StudiesNOK 550 800 to NOK 630 000
This PhD project investigates how crop resilience strategies affect insect communities associated with rye, utilizing molecular tools for identification and monitoring. Key methods include field entomological monitoring, metabarcoding, and portable nanopore sequencing to enable rapid species identification, aiming for sustainable agricultural practices and biodiversity assessments.
Senckenberg Gesellschaft für Naturforschung (SGN)TV-L E 13
This research project analyzes the evolving legal and institutional frameworks of the EU-ACP partnership, particularly focusing on the implications of the Samoa Agreement and the African Union's mechanisms for human rights and democratic governance. It questions the future of political conditionality traditionally imposed by the EU on African states amid increasing regional autonomy.
This research project explores the regulatory landscape governing the free movement of medicines within community law, emphasizing the legal and institutional conditions necessary for effective health protection against falsified or substandard medicines. It highlights the need for regional cooperation among states to improve pharmaceutical policy and safeguard individual health rights.
This PhD project focuses on developing faecal sludge briquettes (FSB) as a sustainable cooking fuel alternative in Kenya and Ethiopia. It aims to optimize FSB production through laboratory investigations on feedstock properties and binding material combinations, addressing the intertwined issues of urban sanitation and energy accessibility in the region.
This PhD project explores agroecological strategies to minimize nitrogen losses in vegetable production by optimizing practices such as catch crops, precision fertilization, and irrigation. It aims to improve vegetable growth and nitrogen use efficiency while reducing environmental impact, through experimental field trials and modeling methodologies.
This research project focuses on enhancing the resilience and reliability of Low Earth Orbit (LEO) satellite communications systems, particularly in military applications. Techniques will include modeling interference, optimizing beam management, and evaluating 5G Non-Terrestrial Networks. Candidates should have a master's in relevant fields and be skilled in mathematical modeling and tool programming.
This PhD project focuses on developing AI systems that model and support learners' attentional and cognitive processes using multimodal data. Research includes designing adaptive learning environments that offer personalized support, employing technologies like eye tracking and video analysis. Candidates should have a strong background in relevant fields and programming skills, particularly in Python.
Artificial Intelligence and Machine LearningE13 TV-L, 75%
This PhD project focuses on developing and utilizing multi-modal magnetic resonance techniques to study chemical and physical processes in porous media, including fluid flow, mineral precipitation, and microbial interactions. Candidates should have a background in chemistry, physics, or engineering, and experience with magnetic resonance methods.
Department of Earth and Planetary Sciences (D-EAPS)
