Machine Learning jobs

The University of Bonn invites applications for up to two tenured W3 professorships in AI and machine learning within the Lamarr Institute and Department of Computer Science. Research interests may include foundation and world models, efficient AI, agentic intelligence, or embodied and hybrid learning. Successful candidates will lead research programmes,…

Three-year doctoral position at the Oslo Centre for Biostatistics and Epidemiology, developing probabilistic methods for complex biological data. Research will combine latent-variable modelling, scalable inference and uncertainty quantification for high-dimensional, structured and multimodal observations, including spatial transcriptomics and fluorescence…

CSIRO seeks an early-career researcher to integrate agricultural trial, field-survey, sensor, UAV and satellite data for Australian dryland farming systems. Research includes data management, data-driven and process modelling, indicators beyond productivity, and analysis of constraints and risks in crop and mixed crop-livestock systems. Canberra, Australia;…

Research high-strength steels for naval applications through integrated computational materials engineering. The project combines computational thermodynamics, data-driven modelling and physical metallurgy to accelerate alloy development. Work takes place at IIT Kanpur and IIT Madras. The initial temporary contract lasts one year and may be extended based…

Two-year, full-time postdoctoral appointment investigating commonsense reasoning in multimodal world models. Research combines neural and symbolic methods to represent abstractions, causality, space and time, with the aim of improving human-centred AI. The project involves collaboration across AI, computer vision and reasoning, alongside limited teaching…

EMBL-EBI seeks a scientific developer for the Open Targets Safety 2.0 project. The role builds machine-learning and data-processing pipelines that extract drug side-effect evidence from publications, clinical trials and drug labels, map it to biomedical ontologies, and integrate results with ChEMBL and the Open Targets Platform. The researcher will help…

The BrAIN group recruits a postdoctoral researcher for the ERC-funded BrainAlign project, investigating whether human brain activity can improve language models’ long-timescale understanding. The researcher leads the computational neuroscience work, integrates heterogeneous fMRI datasets and develops models that learn from naturalistic language…

Lead the behavioural-evaluation component of Mariya Toneva’s ERC BrainAlign project. The postdoc will develop tasks and a gamified platform to collect human understanding of full narratives and books, then evaluate brain-aligned language models against those data. The role combines NLP, machine learning and cognitive science, with collaboration across…

Combine control theory and machine learning for autonomous underwater robotic manipulation at NTNU’s Department of Engineering Cybernetics and Norwegian Centre for Embodied AI. Directions include safe reinforcement learning, physics-informed ML, learning-based model predictive control and foundation models with performance guarantees. Work under Kristin Y.…

Fully funded doctoral studentship in the Ali Lab at the Cancer Research UK Cambridge Institute, starting in October 2027. The project combines spatial multiomics with deep learning to identify treatment-response biomarkers in breast cancer. It will analyse large multimodal datasets from observational cohorts and clinical trials, using representation and…

Develop ARCA, a foundation model that combines crop microbiome, genome and environmental data to predict microbial community behaviour and support crop resilience. The NOAH consortium connects model development with greenhouse and field experiments. This 36–40-hour postdoctoral appointment starts in January 2027, initially for one year with a three-year…

Permanent, full-time reader appointment in the School of Informatics, with hybrid working. Research should advance AI methods at the intersection of perception and action. Relevant areas include continual learning, agentic and world models, embodied intelligence, reinforcement learning, decision-making under uncertainty and long-duration autonomy.…

Lead research combining AI-assisted synthesis and nanocrystal growth to develop nanoparticles with improved optical properties and optoelectronic devices. This permanent role is in the Nanoparticle Group at the Research Center for Materials Nanoarchitectonics. The expected start is 1 April 2027, negotiable. Applications and two recommendation letters are…

The NWO-funded SHARE project develops realistic, privacy-preserving synthetic energy data for grid planning and decision-making, using operational data from Alliander. The PhD researcher will compare deep generative and probabilistic approaches, incorporate power-flow equations, operational bounds and network topology, and evaluate statistical fidelity,…

The ALGOSH and DIGILONG projects study how algorithmic management and digital platform work affect working conditions and health. The researcher will combine longitudinal surveys with Swedish population registers, develop questions and analytical strategies, lead publications and collaborate with PhD students. Methods may include longitudinal causal…

ETH AI Center offers approximately 8–12 postdoctoral fellowships for interdisciplinary AI research, with equal supervision by two principal investigators from different fields. Fellows develop their own projects spanning AI foundations and applications, join research exchanges and events, and may explore industry or entrepreneurial tracks. The appointment…

ETH AI Center is recruiting approximately 8–12 doctoral fellows to propose and pursue interdisciplinary AI research, with two supervisors from different fields. Projects can address AI foundations or connect them with application areas. Fellows are based at the centre in Zurich and can pursue optional industry or entrepreneurship experience. Employment…

Fully funded doctoral positions combine supervision at ETH Zurich with a Max Planck institute or the ELLIS Institute Tübingen. Fellows have a primary research location and complete a mandatory 12-month exchange at their co-supervisor’s site, earning an ETH doctorate. Research spans machine learning, AI for science, computational biology, neuroinformatics,…

The FICOSS-AI project will develop an open-source pipeline integrating astrophysical models, spectral diagnostics and AI to study stellar populations and galaxy evolution. The fellow will combine machine learning, population-synthesis models and spectral-analysis tools, contribute to publications and mentor students technically. The expected start is 1…

The Soft Robotics Lab seeks postdoctoral researchers working on compliant robotic systems, biohybrid actuators, dexterous manipulation, robot learning or embodied-AI simulation. Researchers will develop and experimentally validate systems, publish findings and co-supervise students. The full-time Zurich appointment starts with a one-year contract, renewable…

Two positions with Yingda Cheng and Daniel Appelo connect numerical analysis and scientific machine learning with fusion plasmas, quantum devices and high-performance computing. Appointments in Burnaby last two years, potentially three, with a January–September 2027 start and up to one undergraduate course annually. Salary is CAD 65,000–70,000 plus…

The Max Planck School of Biomedical Artificial Intelligence is recruiting its first cohort for 25 fully funded, structured three-year PhD positions at the interface of AI and the life sciences. Doctoral researchers will develop computational and AI methods for molecular and cellular systems, protein and molecule design, complex biological traits and neural…

The Chemistry Department seeks a tenure-track faculty member whose research connects artificial intelligence and chemistry. Suggested directions include AI-guided catalysts, reaction conditions, polymers, biosynthetic pathways, semiconductor chemistry, process optimization, sensors and predictive spectroscopy. The appointee will establish an externally…

A one-year machine-learning research internship with the Allen Institute Neural Dynamics accelerator. The intern will analyze recordings from two genetically distinct neural populations in the striatum alongside motor output, muscle activity and behavioral video. The project asks how shared and population-specific neural activity encodes movement, using…