Linux
linux
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You will be working in the Pattern Analysis and Computer vision (PAVIS) Research Line, a multi-disciplinary and multi-cultural group where people with different backgrounds collaborate, each with their own expertise, to carry out the research on Computer Vision and Artificial Intelligence. PAVIS research line is coordinated by Dr. Alessio Del Bue. Within the team, your main responsibilities will be: Hardware and software prototyping of computational systems based on Computer Vision and Machine Learning technology; Support PAVIS facility maintenance and organization; Support PAVIS Technology Transfer initiatives (external projects); Support PAVIS researcher activities; Support PAVIS operations (procurement, ICT services, troubleshooting, data management, logistics, equipment management and maintenance).
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We seek to appoint a full-time Machine Learning Research Engineer to contribute to the development of new technologies for cutting edge vision systems in the context of an industrial project in collaboration with a large multinational company. The project carries out innovative research on the topics of Visual Question Answering and fast adaptation of vision-language models. The project team will be responsible for all the phases of the research development, including methods design and implementation, data preparation and benchmarking, task planning and frequent reporting. Within the team, your main responsibilities and duties will depend on your expertise and experience.
Dr. Romy Lorenz
The Cognitive Neuroscience & Neurotechnology group at the Max Planck Institute for Biological Cybernetics, led by Dr. Romy Lorenz, is seeking two ambitious PhD students to work on the field of ultrahigh resolution fMRI for investigating the human cortex at the scale of layers and columns. The lab focuses on understanding the frontoparietal brain network mechanisms underpinning high-level cognition and adaptive behaviour through an interdisciplinary research programme. Methodologies include subject-specific brain-computer interface technology, fMRI at 3T and ultrahigh magnetic field strengths (7T and 9.4T), EEG, non-invasive brain stimulation, and machine learning.
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We are looking for a motivated research assistant / engineer (“ingénieur d’étude” – IE) with expertise in neuromorphic engineering to join the team of Drs. Timothée Levi, Fabien Wagner, and Amélie Aussel at the University of Bordeaux (Institut du Matériau au Système – IMS – and Institut des Maladies Neurodégénératives – IMN). The goal of the project is to expand our current efforts towards performing large-scale simulations of conductance-based neuronal models on FPGAs, with an application to neurostimulation of the hippocampal formation. The initial contract would be for a period of 1 year with an expected starting date on Oct 1st, 2024.
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You will be working in the Pattern Analysis and Computer Vision (PAVIS) Research Line, in collaboration with the Rehab Technologies and EDPR units. The IIT teams are a multi-disciplinary and multi-cultural group where people with different backgrounds collaborate, each with their own expertise, to carry out research on Computer Vision, Rehabilitation Technologies and Artificial Intelligence. PAVIS Research Line is coordinated by Dr. Alessio Del Bue. PAVIS developed an intelligent sensor network infrastructure at the Center for Human Technologies to deploy, test, and validate human-centric AI approaches in collaboration with several IIT PIs. This infrastructure is used to deploy assistive AI technology, and it will be critical to integrating computational and robotics systems for social good and healthcare applications as part of IIT's Flagships program. Within the research team, your main responsibilities will be: Developing software for cutting edge interdisciplinary technology transfer projects in the area of health care, concretely, Intelligent and Interactive environments to assist frail patients; Collaborating closely with other research units and groups at IIT in multi-group collaborations involving advanced software architectures, machine learning and robotics (e.g. exoskeletons); Prototyping of Proof of Concepts, demonstrations, and use cases together with engineers and researchers with different backgrounds; Providing support on pre-clinical and clinical experiments with real patients; Providing support on the technical preparation of documentation (e.g. technical reports).
NeuroFedora: Free software for Free Neuroscience
NeuroFedora is an initiative to provide a ready to use Fedora Linux based Free/Open source software platform for neuroscience.