We are seeking a Machine Learning expert to join our wireless software group and explore innovative applications of ML algorithms in embedded wireless systems and protocols. This role focuses on cutting-edge research to integrate machine learning into wireless firmware architectures as well as protocol design validation and performance optimization. The position emphasizes experimental research algorithm development and proof-of-concept implementations in the wireless domain. This role offers the opportunity to develop novel solutions that bridge the gap between theoretical machine learning capabilities and practical wireless system implementations.
Minimum: Masters degree (MSc) in one of the following fields: Computer Science or Mathematics with specialization in Machine Learning Signal Processing and Telecommunications Engineering
Machine Learning: Deep understanding of ML algorithms particularly those suitable for real-time applications (online learning federated learning reinforcement learning neural networks)
Wireless Communications: Strong foundation in wireless communication principles protocols
Programming: Proficiency in Python MATLAB C/C and ML frameworks
Optimization: Experience with convex optimization resource allocation algorithms and constraint satisfaction problems
Real-time Systems: Understanding of real-time computing constraints and low-latency system design
Research Experience: Demonstrated track record of independent research through publications patents or significant project contributions
Knowledge of edge computing and distributed ML systems is advantageous
Personal Attributes: Self-Motivated: Ability to work independently set research priorities and drive projects from conception to completion
Analytical Thinking: Strong problem-solving skills with ability to tackle complex multi-disciplinary challenges
Innovation-Oriented: Creative approach to research with ability to think outside conventional boundaries
Communication Skills: Excellent written and verbal communication skills for technical documentation and presentations
Collaborative Spirit: Ability to work effectively in cross-functional teams while maintaining independent research focus
إخلاء المسؤولية: د.جوب هو مجرد منصة تربط بين الباحثين عن عمل وأصحاب العمل. ننصح المتقدمين بإجراء بحث مستقل خاص بهم في أوراق اعتماد صاحب العمل المحتمل.
نحن نحرص على ألا يتم طلب أي مدفوعات مالية من قبل عملائنا، وبالتالي فإننا ننصح بعدم مشاركة أي معلومات شخصية أو متعلقة بالحسابات المصرفية مع أي طرف ثالث. إذا كنت تشك في وقوع أي احتيال أو سوء تصرف، فيرجى التواصل معنا من خلال تعبئة النموذج الموجود على الصفحة اتصل بنا