Beschrijving
Job Overview: Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. We are a dedicated team working across multiple continents developing Qualcomm’s core AI capabilities. Our projects lie on the spectrum of fundamental to applied research, including the following research areas: Efficient Networks: Neural network design, compression, quantization, algorithms, architecture search, and SW/HW co-design Perception: Computer vision using cameras, radar, ultrasonic and other sensors Personalization: Continuous learning, model adaptation, and privacy-preserving distributed learning Efficient learning: Robust learning through minimal data, unsupervised learning, and on-device learning Data compression: Deep generative models trained to compress audio, images, and video Wireless: Deep learning and neural augmentation for signal transmission, receiver processing and propagation channel analysis Combinatorial optimization: Neural Augmentation and Deep Reinforcement Learning Your research might include development of new fundamental methods in the areas mentioned above or related new topics fitting your background. As an Intern you will work closely with researchers that have published at major conferences, including Prof. Dr. Max Welling. You will work on campus at the University of Amsterdam and live in a scenic, vibrant city with high living standards, numerous cultural activities, and great outdoors nearby. Qualcomm offers flexible start dates during 2021/2022, a competitive salary, holiday and sick pay. Students should be mid-study looking for work experience or a mandatory internship towards completing their degree. Minimum Qualifications: M.S. in Computer Science or related fields. Preferred Qualifications: PhD candidate with experience in machine learning and deep learning research projects. Strong programming skills and working knowledge of deep learning tools such as Pytorch or Tensorflow. Publications in top tier conferences and journals, including NeurIPS, CVPR, ICCV, ICML, ICLR, ACL, ICRA. Education Requirements: PhD student in Artificial Intelligence, Computer Science, Electrical Engineering, or Computer Engineering. Please include graduation date and projected grades in your resume. *References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Extra informatie
- Status
- Inactief
- Opleidingsniveaus
- Universiteit
- Plaats
- Amsterdam
- Dienstverbanden
- Stage
