
Senior AI Researcher (Self-supervised learning)
Are you a passionate and curious individual with a deep understanding of self-supervised learning techniques? Do you have a strong background in artificial intelligence and a track record of conducting groundbreaking research? If so, we have an exciting opportunity for you to join our team as a Senior AI Researcher at Thales. In this role, you will have the opportunity to work on cutting-edge projects and drive innovation in the field of self-supervised learning. We are seeking a highly skilled and motivated individual who is ready to take on new challenges and push the boundaries of AI research. If this sounds like you, we encourage you to apply for this position and be a part of our dynamic and collaborative team.
- Conduct research and experiments in the field of self-supervised learning, leveraging your deep understanding of the techniques and methods involved.
- Collaborate with a team of AI researchers to identify and tackle key challenges in self-supervised learning.
- Design and implement innovative algorithms and models for self-supervised learning.
- Stay up-to-date with the latest advancements in the field and incorporate them into your research.
- Publish research findings in top-tier conferences and journals.
- Work closely with cross-functional teams to integrate self-supervised learning into Thales products and services.
- Mentor junior researchers and guide them in their projects.
- Lead and manage projects related to self-supervised learning, ensuring timely and high-quality delivery.
- Identify potential areas for improvement and propose solutions to enhance the efficiency and effectiveness of self-supervised learning techniques.
- Actively participate in brainstorming sessions and contribute innovative ideas to drive the overall AI research strategy at Thales.
- Represent Thales at industry conferences and events, showcasing our advancements in self-supervised learning.
- Collaborate with external research partners and universities to foster knowledge exchange and stay at the forefront of self-supervised learning research.
Extensive Knowledge And Experience In Self-Supervised Learning Techniques, Including Deep Learning Methods Such As Autoencoders, Generative Adversarial Networks, And Contrastive Learning.
Strong Background In Computer Science, Mathematics, And Statistics, With A Focus On Machine Learning And Artificial Intelligence.
Demonstrated Track Record Of Successful Research In The Field Of Ai, With Publications In Top-Tier Conferences And Journals.
Ability To Design And Implement Complex Ai Algorithms And Models, As Well As Evaluate And Improve Existing Systems.
Excellent Communication And Collaboration Skills, With The Ability To Work In A Multidisciplinary Team And Present Research Findings To Both Technical And Non-Technical Audiences.
Data Analysis
Machine Learning
Deep Learning
Computer Vision
Artificial Intelligence
Natural language processing
Algorithm development
Statistical modeling
reinforcement learning
Neural Networks
Self-Supervised Learning
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior AI Researcher (Self-supervised learning) in Reading, UK is £60,000-£90,000 per year. This may vary depending on the specific company, industry, and level of experience.
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Thales Group is a French multinational company that designs and builds electrical systems and provides services for the aerospace, defence, transportation and security markets. Its headquarters are in La Défense, and its stock is listed on the Euronext Paris.

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