Machine Learning jobs

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.…

Develop an uncertainty-aware digital twin and AI control architecture for protein-guided, droplet-based manufacturing of functional materials. The programme combines protein and formulation descriptors, physics-informed process models, inline measurements and process–structure–property learning. Applications include rare-earth-free magnets and nanoporous…

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…

Join the THOTH team with Adrien Taylor and Scott Pesme to implement, compare and analyse parallel and stochastic optimisation methods. Contribute parallel-optimisation functionality to PEPit and communicate results in research reports. The advertised appointment lasts 12 months, is renewable, and has a planned start on 1 January 2027. Gross monthly pay…

Develop an independent research programme in computational neuroscience at UC Berkeley. The search spans neural-data analysis, circuit modelling, mathematical accounts of perception, memory, cognition and movement, theoretical neuroscience, machine learning for brain modelling, and biological intelligence. Collaboration with experimental laboratories is…

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…

Join TYREX to incorporate database schemas, constraints and rules into relational graph-neural-network message passing. The project investigates neurosymbolic aggregation and relational routes, creates annotated benchmarks, and evaluates accuracy, robustness, data efficiency and interpretability. The renewable 12-month appointment has a planned start on 1…

Develop new AI and machine-learning methods for biological research in a tenure-track appointment shared by UC Berkeley’s EECS department and Center for Computational Biology. Topics include predicting cellular responses to genetic, molecular and environmental perturbations, molecular interactions, genotype-to-phenotype relationships, genome and biomolecule…

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…

We seek a Scientist I to build the computational backbone of a lab-in-the-loop platform that designs and validates synthetic enhancers for precision cell-type targeting in the brain. In this cycle, model-designed sequences are tested experimentally, and the results retrain the next round of models. You will contribute to an open-source codebase for…