Positions
Job Title: Deep Learning Computer Vision Engineer
Key Responsibilities:
- Develop and optimize deep learning computer vision models for object detection, image segmentation, and image classification.
- Develop and implement data preprocessing and augmentation techniques.
- Test and validate the performance of vision algorithms in real-world applications.
- Continuously improve the efficiency and effectiveness of computer vision workflows.
- Collaborate with product managers to define project requirements and timelines.
- Stay updated on the latest advancements in computer vision and AI technologies.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- Strong mathematical and statistical skills.
- Proven experience in developing deep learning computer vision algorithms.
- Proficiency in programming languages such as Python, C++, or similar.
- Experience with computer vision libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
- Experience with object detection, image segmentation, and image classification tasks.
- Experience with data preprocessing and augmentation techniques.
- Experience with GPU programming and optimization.
Seeking a student specializing in chemistry, physics, or engineering, with proven technical skills, for research on the sustainability of materials in solar cells and sustainable energy in general, at Prof. Cahen/Zaban’s lab at the nano institute. The position requires a minimum commitment of 10 weeks (net).
Seeking outstanding MA and PhD students for an innovative nanomedicine project at Prof. Rachela Popovtzer’s lab. This fascinating multidisciplinary research requires students with initiative, motivation, and creativity. Generous scholarships will be provided for suitable students.
Seeking students for audio applications in Python at Prof. Sharon Ganot’s lab. As part of the EU’s Horizon 2020 SPRING project, the lab is developing applications for a robot designed to aid the elderly in outpatient clinics.
Prof. Amir Leshem is seeking a research assistant for a project in experimental validation of computing models of false information distribution in social networks. The position is available for exceptional fourth-year and master’s students, precedence will be given to students who have taken or are taking the course Mathematical Techniques for Network Analysis. Candidates should send CV and transcripts to Ms. Naama Nivron
Prof. Amir Leshem’s group:
We are looking for excellent students (M.Sc. and Ph.D.) for research in the field of machine learning over networks and multi-agent learning. Students with an excellent track record in algebra and probability are invited to apply. A second opening in the field of statistical estimation theory is also available for Ph.D students. Good programming skills in Python are a plus
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The "Quantum Machine Learning" group of Adi Makmal is looking for outstanding M.Sc. and Ph.D. students from Math, Engineering, Physics, and CS, for exciting and novel research about implementing and analyzing reinforcement learning models (in which learning occurs due interaction with a rewarding environment( upon a quantum computer. Strong analytical thinking is a plus.
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Prof. Rachela Popovzer's research group: Our lab is seeking a Master's student for a fascinating project involving the development of a biosensor for the microbiome. The biosensor is intended to be implanted inside the body and sense bacterial communication, for the detection and treatment of various diseases.
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Tomer Kalisky’s research group is studying single-cell genomics in development, regeneration, and cancer using computational data analysis and machine learning algorithms. We are hiring graduate students for M.Sc. and Ph.D. positions. Qualifications: a strong background in engineering, physics, mathematics, computer science, or computational biology. Excellent undergraduate students are also are encouraged to apply.
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Izack Cohen's Research Group – If you have (or going to have soon) a BSc/MSc in Industrial Engineering, Computer Science/Engineering, Electrical Engineering, Mathematics, Information Systems Engineering, Data Science, and if your achievements were excellent so far - be in touch to check your candidacy to research with us. Our research focuses on two data science and modeling themes: 1) Complex process mining based on inputs from video and other sensors. The research involves process mining, process discovery, activity recognition, machine learning, and AI. An ideal candidate will have a background in programming and machine learning. 2) Decision-making models under uncertainty
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Eli Cohen’s research group, specializing in quantum science and technology, is looking for an administrative assistant and/or lab manager for a part-time job. Prior knowledge in quantum mechanics/quantum information/quantum optics is required only for the latter. Remote work is possible.
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Socially Pertinent Robots in Gerontological Healthcare - SPRING - Prof. Sharon Ganot research Group
Prof. Sharon Ganot is currently seeking doctoral and post-doctoral students with a strong background in statistical signal processing and machine learning to join his team. Experience in audio signal processing and high programming skills – an advantage.
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Differential privacy – Or Sheffet’s research group |
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Nano-optics and meta materials – Tomer Levi’s research group |
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Process mining and identifying complex actions – Izack Cohen’s research group |
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Process modeling and mining lab – Gonen Singer’s research group |
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Quantum machine learning – Adi Makmal’s research group |
