לוח משרות דרושים פיזיקאים בחיפה וסביבתה

We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team. The engineer will work on devising, developing, and integrating novel deep vision-based algorithms at the heart of our autonomous driving system. This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles. Responsibilities:
* Designing, training, and optimizing novel computer vision algorithms.
* Taking an End-to End responsibility over medium to long-term projects
* Seeing projects through from research to deployment.
* Devising and implementing performance metrics.
* Supervising complex data pipelines, from the collection stage, through annotation, to training models.
* Communicating, presenting and visualizing results.
* Aligning the algorithms with the product needs.

We are looking for you, creative, diligent and open-minded, to join our Research and Development group. H2Pro develops chemical/electrochemical hybrid systems to demonstrate our novel hydrogen generation technology. As a part of our group, you will be required to find creative and innovative solutions to support leveling up processes, alongside taking part in characterization methods development and study various mechanisms of our electrodes and other related components.
KEY RESPONSIBILITIES
Develop the latest generation of the companys components, electrodes and processes.
Develop and take part in processes related to H2pros systems and machines in order to support the companys next scale up levels.
Lead and take responsibility for varied research projects in diverse disciplines.

* Study and optimize physical parameters to ensure the best performance of energy-based (US and RF) medical devices.
* Design, perform, analyze, and summarize experiments involving multi-disciplinary knowledge.
* Experiments will include systems characterization, the interaction between subsystems, understanding physical and biological mechanisms, and defining critical parameters.
* Develop and improve quantitative measurements and experiment methodologies.
* Use simulation tools to meet performance requirements and optimize system design parameters that are critical.
* Develop physical models for US/RF tissue interactions.
* Get to know trends and new technologies in the medical industry, new technologies, and clinical applications.
* Hands-on at the lab, design and execution of experiments and models
* Collaboration with all R&D departments

We are seeking a highly motivated Postdoctoral Researcher to join our team. The selected candidate will engage in pioneering research to develop the mathematical statistics theory that underpins physics-informed Machine Learning algorithms.
This role presents an opportunity to tackle complex problems at the nexus of deep learning, ordinary and partial differential equations, and mathematical statistics.
The theoretical research is motivated by real data coming from diverse domains such as agriculture, psychotherapy, infectious diseases, medicine, and more.
Key Responsibilities:
* Develop and analyze the theoretical foundations of physics-informed Machine Learning algorithms.
* Collaborate with interdisciplinary teams to apply developed theories and models to real-world scientific and engineering problems.
* Publish research findings in high-impact journals and present work at international conferences.
* Contribute to the development of proposals for research funding.
Benefits:
* Access to cutting-edge research facilities and computational resources.
* The chance to work in a dynamic, interdisciplinary research environment.
* Professional development opportunities, including participation in workshops, seminars, and conferences.