20 results
Investigate foundation models for safe, socially aware human–robot interaction in the HUCEBOT team. The ENACT-funded project combines vision-language and vision-language-action models with motion planning and control, addressing hallucinations, long-horizon behavior, human communication and environmental adaptability. Socially aware robot navigation is the…
Lead a one-year moss carder bee recovery project linking species-recognition machine learning with conservation. The researcher will combine DNA-barcoded photographs, fieldwork, laboratory work and volunteer coordination to build a visual identification tool that guides monitoring and targeted surveys.
Develop smartphone-based 3D capture and comparison methods for OnTheFly, a venture from Inria's GraphDeco team. Research focuses on aligning heterogeneous reconstructions, detecting changes between captures and reference models, and separating geometry, materials and lighting in Gaussian-splatting representations. The engineer will train and evaluate models…
Closes
The Loerch laboratory studies neuronal ribosomes and protein synthesis. The intern will organize structural datasets, build reproducible analysis software, compare structural features, and investigate ribosome states in cellular cryo-EM images using two-dimensional template matching. Machine learning may form part of the work. The appointment is up to 20…
Closes
Design scalable, update-friendly spatial data structures for urban reconstruction from airborne lidar. Explore expressive representations of curved facades and freeform roofs, efficient geometric updates, hybrid arrangements and mesh-based or constructive-solid-geometry representations. Work with the TITANE team and JUNN project partners Luxcarta and…
Closes
The Nirschl laboratory develops AI methods for human neurodegenerative disease. Projects combine whole-slide pathology, clinical and imaging records, molecular measurements and spatial omics to study tissue phenotypes and validate biomarkers in Alzheimer’s and Lewy body diseases. Responsibilities include model development and evaluation, reproducible…
Closes
Build an open dataset of human crowd dynamics for the VirtUs team’s FOUL-X project. Coordinate video acquisition at four to six sites in France, validate pedestrian tracking, organize trajectory data and develop metrics comparing crowd behaviour. Work with tracking and modelling researchers while addressing anonymisation, ethics and GDPR. Gross monthly pay…
Closes
The A. Mathis Group for Computational Neuroscience and AI (CNAI), led by Professor Alexander Mathis, is recruiting two postdoctoral fellows. The group studies how to measure and understand behaviour with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of the body through proprioception; it develops open-source…
Develop machine-learning methods for quantitative neuropathology within the Brain Health initiative. Integrate histology, spatial molecular data, MRI and clinical information to investigate brain-disease mechanisms and progression. The role includes computer-vision models, multimodal learning, Bayesian and causal models, scientific collaboration and open…
Develop scalable machine-learning methods and infrastructure for the Brain Health initiative. Integrate digital histology, spatial transcriptomics, MRI and clinical data to model brain-disease progression at cellular resolution. Responsibilities include foundation models, distributed training, robust data pipelines and open-source scientific tools. This…
Develop research in manufacturing robotics, industrial automation and controls within ORNL's Manufacturing Robotics and Controls Group. Work includes advanced sensing and control algorithms, flexible automation, machine learning, machine vision and collaboration with industrial partners. The scientist will develop proposals, communicate research results and…
Develop interfaces for dexterous robot teleoperation by combining wrist or forearm surface electromyography with egocentric computer vision. Research covers signal processing, representation learning, motor-intent decoding, object and hand understanding, multimodal reasoning and real-time sensing. The role focuses on robotics and interactive systems; it has…
Develop machine-learning methods for sparse three-dimensional reconstruction of virtual histology from X-ray phase-contrast tomography. Work includes imaging breast biopsy specimens, constructing data pipelines, designing reconstruction algorithms and comparing results with standard histology. The doctoral researcher joins academic and clinical…
The researcher will define original computer-vision research directions, develop algorithms that generalize across diverse data and hardware, publish results and collaborate with engineering teams on production systems. The role emphasizes scientific rigor, reproducibility and the practical problems encountered by computer-vision users. Candidates need a…
Develop uncertainty-aware tunnel condition assessment from images, video, sensors and repeated three-dimensional scans. Fuse deterioration evidence through hierarchical Bayesian models, represent evidence quality and integrate indicators into a digital-twin prototype. The project includes underground inspection and validation with Hagerbach Test Gallery and…
Develop perception and learning methods for humanoid robots in autonomous manufacturing. The doctorate combines RGB-D data, scene understanding, synthetic data, simulation-to-reality transfer and robot manipulation, with experimental validation on physical platforms. The project is hosted by the Advanced Manufacturing Lab and includes collaboration with…
The Brain Image Analysis Unit at the RIKEN Center for Brain Science seeks a postdoctoral researcher to develop deep-learning methods for large-scale microscopy and MRI of the marmoset brain within Brain/MINDS 2.0. The programme combines two-photon and bright-field microscopy, spatial transcriptomics, anterograde tracing and diffusion MRI into a whole-brain…
Lead image processing and analysis of large-scale electron-microscopy datasets in the Allen Institute Brain Science accelerator. Scale high-throughput pipelines toward whole-mouse-brain datasets, oversee automated two-dimensional stitching and three-dimensional alignment, and integrate connectomics with molecular and physiological cell-type measurements.…
Two postdoctoral positions in Naoto Yokoya’s Geoinformatics Team at RIKEN AIP develop multimodal and agentic AI for disaster-risk assessment and geospatial decision support. Research combines satellite, aerial, ground and simulation data with computer vision, machine learning and language models. Responsibilities include research publication, collaboration…
The Schulze Lab at HHMI Janelia seeks a postdoctoral scientist spanning systems neuroscience, computer vision, pose tracking, behavioral machine learning, and virtual reality. The researcher will build closed-loop paradigms and brain-behavior maps to study collective behavior, social cognition, individuality, sex differences, and stress in Danionella fish.
End of results.