Overview
King Abdullah University of Science and Technology (KAUST) is offering two postdoctoral positions focused on optimization and machine learning. These roles are designed for candidates eager to contribute to cutting-edge research in these fields. The positions are significant for the AI/ML community, providing a platform for innovation and collaboration.
Background & Relevance
Optimization and machine learning are critical areas in artificial intelligence, driving advancements across various applications, from data analysis to algorithm development. As these fields evolve, the demand for skilled researchers continues to grow, making opportunities like these at KAUST vital for fostering talent and innovation.
Key Details
- Position Start: By January 2020
- Duration: 1 to 3 years, depending on mutual agreement
- Salary and Benefits: Competitive salary, travel funding, access to advanced facilities, and on-campus accommodation
- Campus Features: KAUST’s campus includes restaurants, schools, shops, a cinema, private beaches, recreation centers, a supermarket, and a medical center
- Application Process: Interested candidates should email Peter Richtarik at peter.richtarik@kaust.edu.sa or richtarik@gmail.com with their CV and a statement of interest.
Eligibility & Participation
These positions are open to individuals with a strong background in optimization and machine learning. Candidates should be prepared to demonstrate their interest and qualifications through their CV and application materials.
Submission or Application Guidelines
To apply, candidates must follow these steps:
1. Email Peter Richtarik at the provided addresses.
2. Include a CV and a brief explanation of interest in the position.
3. If selected, be prepared to provide reference letters and additional materials as requested.
4. Shortlisted candidates will be invited for a Skype interview.
Additional Context / Real-World Relevance
The integration of optimization techniques with machine learning is increasingly relevant in various sectors, including finance, healthcare, and technology. Positions like these at KAUST not only advance individual careers but also contribute to the broader landscape of AI research, enhancing the capabilities and applications of machine learning technologies.
Conclusion
This is an exciting opportunity for researchers looking to advance their careers in optimization and machine learning. Interested candidates are encouraged to apply and explore the vibrant research environment at KAUST, which is well-equipped to support innovative research and professional growth.
Category: PhD & Postdoc Positions
Tags: optimization, machine learning, postdoc, kaust, computer science, applied mathematics, statistics, research opportunities
