Jobs at 9 Fællesadministration

Supports research and development projects involving unmanned aerial, ground, and surface systems. Responsibilities include designing drone platforms, subsystems, and payloads; mechanical and composite construction; electronics and software development; embedded systems; sensor and signal processing; UAS experiments and piloting; and participation in outreach activities. The role works across SDU facilities in Odense and HCA Airport.

Postdoctoral researcher to study how large language models and AI affect political language. Responsibilities include designing and executing computational social science studies, data collection and analysis of natural and AI-generated text, publishing, public dissemination, collaborating within an interdisciplinary team, contributing to grant efforts, presenting at conferences, and possibly teaching. Must code in R or Python and work on-site in Odense.

Postdoctoral researcher will develop theory and algorithms for quantized reinforcement learning: build uncertainty-aware parsimonious world models, prove finite-sample/regret guarantees under non-stationary latent spaces, implement scalable prototypes, benchmark in high-dimensional simulators, publish at top ML venues, and perform standard teaching assistant duties.

Tenure-track permanent Associate Professor in Public Administration to conduct internationally excellent research, publish, secure funding, teach and supervise on master and bachelor programmes, develop collaborative research projects and networks, mentor junior researchers, and engage in outreach. Support the Public Administration Research Group strategy and participate in departmental activities. Non-Danish speakers must attain Danish reading proficiency for exam/admin purposes within three years; language support and workload reduction provided.

Three-year funded PhD position to research and develop advanced language models and related use cases (LLM customization, agentic behaviour, multi-modality). Candidates must hold (or be about to complete) a relevant MSc, be fluent in English and proficient in Python. The role is based in Odense within the Odense NLP group and involves research, software development, and collaboration across the Centre for Machine Learning.

Tenure-track assistant professor to develop independent research in multiphysics simulation, optimisation, and experimentation; secure external funding; teach and supervise engineering students; contribute to MSOE group projects, grant applications, and interdisciplinary collaboration; complete faculty lecturer training and participate in academic community activities.

Conduct detailed Raman spectroscopic analyses of carbon particles in ancient sedimentary rocks and modern marine/river sediments to quantify recycled petrographic carbon and assess thermal maturity; integrate stratigraphic and Precambrian geological context; publish results and contribute to a Villum Foundation–funded research project within the Nordcee group.

Four-year Assistant Professorship to conduct research and teach Danish politics. Responsibilities include research development, BA/MA teaching and supervision, programme development, securing external funding, public engagement, and contributing to departmental collaboration and outreach.

Two full-time postdoctoral positions in pharmacoepidemiology and reproductive epidemiology at the University of Southern Denmark. Responsibilities include planning, conducting, and publishing register-based epidemiological studies using large-scale Danish and Nordic data, possible primary data collection (including chart extraction using NLP), and supervising PhD students. Projects focus on long-term safety/effects of ADHD medication in youth and cardiovascular and cancer outcomes after medically assisted reproduction.

Conduct theoretical and algorithmic research in neuro-morphic reinforcement learning, prove convergence and sample-complexity results for non-stationary control, implement scalable RL simulations, publish at top ML venues, and perform standard teaching assistant duties.

Two-year postdoctoral researcher to study conceptual reception of "method" in Melanchthon, Sturm, and Ramus, contextualizing semantic developments via philological, socio-cultural, and intellectual-historical methods; collaborate with digital-humanities team on semantic network analysis; support research on Byzantine sources; publish a monograph and contribute to joint outputs, workshops, and dissemination.

Establish and lead a research subgroup applying machine learning and data science to pharmaceutical data. Build a research team, develop and teach pharmaceutical data science courses, secure research portfolio, supervise PhD/postdoc, and contribute to CPDSE collaborations and community activities.

Develop, improve and expand scalable bioinformatics workflows (MIntO and new pipelines) for large-scale microbiome multi-omics; analyze sequencing and multi-omics data; lead and participate in consortium research projects; collaborate with clinicians, veterinarians and bioinformaticians; supervise, teach, and publish scientific results.

Postdoctoral researcher to develop and validate multiphysics simulation tools for bubble transport, multiphase CFD, and electrochemical transport in alkaline electrolysers. Work includes coupling current distribution models with experiments, guiding electrode cassette design, collaborating with industry and academia, mentoring students, publishing results, and contributing to funding and teaching.

Funded 3-year PhD to design and develop AIE-active molecular materials for high-performance organic photovoltaics. Work includes molecular design, thin-film device fabrication and characterization, interface engineering and passivation, optimization for stability and scalable Roll-to-Roll production, communicating results in English, and research stays abroad.

Two part-time (25%) one-year research assistant positions to develop AI-based decision support for clinical projects: personalized cardiovascular risk prediction for kidney disease patients and smoking status/symptom detection for lung cancer patients. Work includes AI model development, interdisciplinary collaboration with hospitals, and engagement with domain experts and stakeholders.