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✔️ @ApplyTime
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𝗪𝗵𝗲𝗿𝗲 𝗶𝘀 𝗚𝗲𝗿𝗺𝗮𝗻 𝗔𝗜 𝘁𝗮𝗹𝗲𝗻𝘁 𝗰𝗼𝗺𝗶𝗻𝗴 𝗳𝗿𝗼𝗺… | Jannik Wiedenhaupt | 143 comments
𝗪𝗵𝗲𝗿𝗲 𝗶𝘀 𝗚𝗲𝗿𝗺𝗮𝗻 𝗔𝗜 𝘁𝗮𝗹𝗲𝗻𝘁 𝗰𝗼𝗺𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗮𝗻𝗱 𝗴𝗼𝗶𝗻𝗴?
Germany has an amazing education system and great (almost free) technical universities, so I was wondering how well they do in attracting AI research talent and keeping it.
On of my recent posts Pegah Maham…
Germany has an amazing education system and great (almost free) technical universities, so I was wondering how well they do in attracting AI research talent and keeping it.
On of my recent posts Pegah Maham…
Position: Funded PhD Position in Optimal Transport Theory for Safe and Robust Multi-Agent Systems
Institution: Center for Human-aware AI (CHAI), Rochester Institute of Technology (RIT)
Location: Rochester, NY, USA
Overview:
The Center for Human-aware Artificial Intelligence (CHAI) at the Rochester Institute of Technology (RIT) is seeking a dedicated PhD student for research at the intersection of optimal transport theory and multi-agent RL. This position aims to develop frameworks that leverage mathematical insights from optimal transport to enhance the safety and robustness of multi-agent RL.
Qualifications:
- Strong background in mathematics or reinforcement learning, evidenced by a Bachelor's or Master's degree in Computer Science, Mathematics, Artificial Intelligence, or related fields.
- Strong programming skills, with proficiency in Python, C++, or similar languages, and experience with RL / multi-agent RL.
Application Process:
Interested candidates are encouraged to contact Dr. Ali Baheri (akbeme@rit.edu).
✔️ @ApplyTime
Institution: Center for Human-aware AI (CHAI), Rochester Institute of Technology (RIT)
Location: Rochester, NY, USA
Overview:
The Center for Human-aware Artificial Intelligence (CHAI) at the Rochester Institute of Technology (RIT) is seeking a dedicated PhD student for research at the intersection of optimal transport theory and multi-agent RL. This position aims to develop frameworks that leverage mathematical insights from optimal transport to enhance the safety and robustness of multi-agent RL.
Qualifications:
- Strong background in mathematics or reinforcement learning, evidenced by a Bachelor's or Master's degree in Computer Science, Mathematics, Artificial Intelligence, or related fields.
- Strong programming skills, with proficiency in Python, C++, or similar languages, and experience with RL / multi-agent RL.
Application Process:
Interested candidates are encouraged to contact Dr. Ali Baheri (akbeme@rit.edu).
✔️ @ApplyTime
👍1
1. Compilation of advice (by @shaily99): github.com/shaily99/advice
2. Application fee waivers (by @KaiserWhoLearns): https://github.com/KaiserWhoLearns/CS-PhD-Application-fee-waivers
3. SoP samples (collected by @zhaofeng_wu @alexisjross @shannonzshen): cs-sop.org [2/3]
✔️ @ApplyTime
2. Application fee waivers (by @KaiserWhoLearns): https://github.com/KaiserWhoLearns/CS-PhD-Application-fee-waivers
3. SoP samples (collected by @zhaofeng_wu @alexisjross @shannonzshen): cs-sop.org [2/3]
✔️ @ApplyTime
Forwarded from Esmaeil
سلام. لب ما پوزیشن دکتری داره. ممنون میشم داخل کانالتون قرار بدید