Doctoral Scholarship: Machine Learning: Embark on a transformative journey with KTH’s School of Electrical Engineering and Computer Science. We’re offering a doctoral scholarship in Programming Languages and Machine Learning, funded by the prestigious Wallenberg AI, Autonomous Systems and Software Program (WASP). Dive into cutting-edge research exploring the fusion of programming languages theory, compilers, and machine learning. Join Professor David Broman and his team in pioneering algorithms, formal semantics, and compiler techniques for natural and programming languages. Seize this opportunity to contribute to the High-Confidence Transformer-Based Compilation of Partially Ambiguous Programs project while immersing yourself in Stockholm’s dynamic academic environment.
Doctoral Scholarship Opportunity in Programming Languages and Machine Learning
Summary Table:
| Study Area | Programming Languages and Machine Learning |
|---|---|
| Location | Stockholm, Sweden |
| Eligibility/Qualification | Second-cycle degree or equivalent |
| English proficiency equivalent to English B/6 | |
| Strong knowledge in computer science | |
| Proficiency in machine learning, compilers, or algorithms | |
| Goal-oriented, collaborative, and analytically adept | |
| Last Date | June 12, 2024 (Midnight, CET/CEST) |
Study Area: The doctoral scholarship focuses on Programming Languages and Machine Learning within the School of Electrical Engineering and Computer Science at KTH. Research areas include algorithms, formal semantics, and compiler techniques for natural and programming languages.
Location: The scholarship offers an opportunity to work and study in Stockholm, Sweden. Immerse yourself in a vibrant academic community nestled amidst nature and water.
Eligibility/Qualification: Candidates must hold a second-cycle degree or equivalent, with proficiency in English equivalent to English B/6. Strong knowledge in computer science is required, with expertise in machine learning, compilers, or algorithms. Candidates should possess traits such as goal-orientedness, collaboration, and analytical prowess.
Description: Join Professor David Broman and his team in exploring fundamental research at the intersection of programming languages theory, compilers, and machine learning. Dive into the High-Confidence Transformer-Based Compilation of Partially Ambiguous Programs project funded by WASP. Contribute to groundbreaking advancements in algorithms, formal semantics, and compiler techniques for natural and programming languages.
How to Apply: Interested candidates should apply through KTH’s recruitment system. Ensure your application includes a comprehensive CV, copies of diplomas and grades from previous university studies, certificates of language proficiency, and representative publications or technical reports. Applications must be submitted by midnight on June 12, 2024, CET/CEST.
Last Date: June 12, 2024
