Wireless AI Algorithm Engineer
Incluso AB · Stockholm · Tills vidare · Deadline 2026-12-18
Incluso AB is seeking a **Wireless AI Algorithm Engineer** to join the Huawei R&D Wireless Algorithm Lab in Stockholm. This is a **full-time consultant position** focused on advanced wireless research for 5G-Advanced products and future 6G systems. The work entails researching and developing innovative AI and machine learning models for optimization, prediction, and decision-making in next-generation networks. Core responsibilities include building and refining simulation environments, evaluation frameworks, and datasets, as well as tracking state-of-the-art advances across AI and wireless communications to formulate new research initiatives. Candidates must hold a **PhD in AI, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics**, or a related field, backed by systematic academic training in AI/ML. Required competencies include deep expertise in areas such as deep learning, generative models, representation learning, or reinforcement learning, alongside strong mathematical abilities and proficiency in Python using frameworks like PyTorch, JAX, or TensorFlow. Strong communication skills in English are essential. Desirable qualifications include a sustained publication record in leading AI/ML venues, industrial R&D experience, and prior background applying advanced AI methods to communications, signal processing, or control systems.
We seek a Wireless Algorithm Engineer with a strong background in AI research to join the Huawei R&D Wireless Algorithm Lab in Stockholm.
The lab conducts advanced research on wireless algorithms for 5G-Advanced products and future 6G communication systems. By deeply integrating artificial intelligence with wireless communications, they aim to explore intelligent algorithms, data-driven approaches, and AI-native technologies for next-generation wireless systems, and to drive promising research outcomes toward practical systems and products.
The successful candidate should have received systematic academic training in machine learning, deep learning, or related areas, and should be capable of independently conducting cutting-edge AI research.
Responsibilities
- Research and develop innovative AI/ML algorithms and models for next-generation wireless communication systems, with applications to optimisation, prediction, and decision-making.
- Build and improve simulation environments, datasets, evaluation frameworks, and experimental methodologies required for algorithm research.
- Track state-of-the-art developments in artificial intelligence, machine learning, and wireless communications, identify promising research directions, and formulate innovative research topics.
Qualifications
· PhD in Artificial Intelligence, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
· Strong academic background in AI/ML with a deep and systematic understanding of the field
- Expertise in AI research areas, such as deep learning, representation learning, generative models, sequence modeling, graph learning, reinforcement learning, foundation models, transfer learning, continual learning, or other emerging machine learning technologies.
- Proficiency in Python, with hands-on research experience using mainstream deep learning frameworks such as PyTorch, JAX, or TensorFlow;
- Strong mathematical, analytical, and problem-solving skills.
- Strong written and verbal communication skills in English, with the ability to communicate complex technical concepts clearly and collaborate effectively with multidisciplinary research and engineering teams.
Preferred Experience
- A sustained track record of high-quality publications in leading AI/ML conferences or journals;
- Experience applying advanced AI methods to communications, signal processing, control, or other complex engineering systems;
- Industrial R&D experience with the ability to balance frontier research value with practical algorithm implementation and deployment considerations.
This is a full-time consultant position.
Please get in touch wth Karin Persson if you have any questions.