stage analyste de vulnérabilités et pentester f/h rejoignez notre centre r&d

As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in? Our Exciting Opportunity: Among the popular cooperative Artificial Intelligence (AI) algorithms used in the cyber security context, we cite the deep and reinforcement learning algorithms that are used to detect unknown cyber-attacks, defined as zero-day attacks. Although these detection techniques generate a high accuracy detection, they exhibit certain drawbacks related to the computation overhead, privacy, and security issues. Since, a huge amount of relevant training data are exchanged between the learning algorithms, which causes the detection techniques generate a high computation overhead during the training process and lead the attackers to steal the training data to bypass the detection techniques. The cooperative Federated Learning (FL) approach could overcome these issues and it is a promising technique that addresses different security use cases, such as monitoring, attack detection, and orchestration. This is partly due to two reasons: _(i)_ the centralized and distributed compute logic, where each device locally executes the FL algorithm and exchange only the hyper-parameters of the learning models, making it even harder for the attacker to tamper with the training data, and also interfere with the learning process, and _(ii)_ distributed and centralized nodes require a low computation overhead as they process only the training models. Position Summary: Ericsson is looking for Master or Engineer Thesis Students with a background in AI and Data Science, who get inspired by technology and the opportunities of data and AI to solve complex problems (such as attacks detection and decision-making issues). As a Master or Engineer Student, you have strong programming skills and a good understanding of data science and Machine Learning. The background in security will be a plus. You will be working on research and development projects with other specialists to drive portfolio innovation and evolution in the areas of security of 5G networks with a focus on attacks detection systems for the Radio Access Network (RAN). POSITION QUALIFICATIONS: * Engineer or MSc level in Computer Science, Machine Learning, Computer Engineering, Mathematics, or related field (e.g. applied mathematics/statistics). * Good understanding of Machine Learning theory and techniques * Good programming skills in Python, (R, Scala) * Applications/ domain-knowledge in telecommunication is a plus. * Good communication skills in written and spoken English. * Creativity and ability to formulate problems and solve them independently. * Personal values in line with Ericsson core values. WHAT HAPPENS ONCE YOU APPLY? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more.