Artificial Intelligence 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,…

A one-year research assistant appointment in the Helleday Laboratory at SciLifeLab connects AI-driven peptide design with translational cancer research. The work supports experimental research and evaluates therapeutic targets for disease relevance, selectivity, safety and prospects for clinical translation. Applicants should combine practical molecular and…

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…

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…

Develop synthetic cells for sustainable biomanufacturing in Wilhelm Huck’s group and the European Propel consortium. The work combines liquid-handling robots, microscopy and active learning to optimise liposomes and cell-free protein production, ultimately converting waste streams into useful biomaterials. These full-time appointments initially last one…

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.…

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.…

Develop mathematical algorithms and research software for the Magma computer algebra system in John Voight’s team. The Simons Foundation-supported collaboration with MIT includes theoretical and algorithmic publications, research datasets, and exploration of AI for mathematical programming, verification, documentation and software interaction. Two full-time…

RIKEN invites junior researchers with advanced mathematical, computational or information-technology skills to support research across its host laboratories, including AI for Science. Around five appointments are planned. Fellows primarily join the Research Engineer Enablement Office in Wako and also work with a host laboratory; annual contracts may be…

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 BDR–RISE programme offers one or two appointments for collaborative research spanning at least two participating RIKEN laboratories. Areas include development, cell systems, brain organoids, neural stem cells, regeneration, AI biology and quantitative biology. Candidates propose the collaboration and must first confirm participation with prospective…

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…

Join Yasuo Tabei’s Succinct Information Processing Team to research efficient AI systems. Topics include memory and knowledge management for language models and agents; reusable skills from agent execution histories; algorithms that reduce computing and memory requirements; and AI operating under device, edge and communication constraints. The researcher…

Lead evaluation frameworks and data-collection protocols for robot capabilities. Define tasks, benchmarks and success criteria; stress-test policies against real-world cases; and turn observed failure modes into targeted training data. Build teleoperation workflows and operator interfaces, integrate logging and data pipelines with engineering teams, and…

Lead machine-learning science in the Institute of Computing, combining hands-on technical guidance with strategic direction for programmes on cell rejuvenation and resilience. Develop teams and methods for biological foundation models, multimodal prediction and scientific hypothesis generation, working closely with experimental researchers. The role covers…

Develop computational biology research that advances the scientific usefulness of AI systems. Work may span large-scale sequence analysis, structural biology, phylogenomics and screening datasets, with analysis pipelines that inform experimental hypotheses and AI-agent evaluation. The advertised annual salary is USD 300,000–320,000. Anthropic’s hybrid…

Build experimental biology programmes that help AI systems perform useful scientific research. Design molecular biology and biochemistry experiments, develop functional high-throughput screens and collaborate with computational researchers on AI-agent planning and evaluation. The role connects laboratory evidence with model capabilities. The advertised…

Research models that connect chemical structures, protein sequences and cellular transcriptomics to predict biological responses. Develop and test scientific hypotheses using large single-cell perturbation datasets, contributing new architectures and evaluations for drug discovery. The employer lists the role as on-site with at least three office days each…

Build and scale foundation models for single-cell biology and drug discovery using large perturbation datasets, including Tahoe-100M. Work focuses on distributed training, model performance and dependable research infrastructure that helps connect gene-regulatory patterns to cellular responses. The role is listed as on-site and requires at least three days…

Develop machine-learning methods for generative drug discovery and turn research prototypes into usable scientific models. The role combines multimodal data, high-throughput experimentation and modern generative architectures, with work on model evaluation, production implementation and computational infrastructure. This is an on-site research position.…