Telegram Group & Telegram Channel
Postdoctoral Research Position Available

The Robust and Interpretable Machine Learning (RIML) Lab at the Computer Engineering Department of Sharif University of Technology is seeking a number of highly motivated and talented postdoctoral researchers to join our team. The successful candidate will work on cutting-edge research involving Large Language Model (LLM) Agents.

• 1-2 years, with the possibility of extension based on performance and funding
• Conduct innovative research on LLM Agents
• Collaborate with a multidisciplinary team of researchers
• Publish high-quality research papers in top-tier conferences and journals
• Mentor graduate and undergraduate students
• Present research findings at international conferences and workshops

Qualifications:
• Ph.D. in Computer Science, Computer Engineering, or a related field earned at most in the last 2 years
• Strong background in natural language processing, machine learning, and artificial intelligence
• Experience with large language models and their applications
• Excellent programming skills (Python, and PyTorch, etc.)
• Strong publication record in relevant areas
• Excellent communication and teamwork skills

Interested candidates should submit the following documents to [email protected] by Feb. 7th:
• A cover letter describing your research interests and career goals
• A detailed CV, including a list of publications
• Contact information for at least two references

For more information about our recent research topics, please check out my google scholar: https://scholar.google.com/citations?hl=en&user=pRyJ6FkAAAAJ&view_op=list_works&sortby=pubdate.



tg-me.com/RIMLLab/155
Create:
Last Update:

Postdoctoral Research Position Available

The Robust and Interpretable Machine Learning (RIML) Lab at the Computer Engineering Department of Sharif University of Technology is seeking a number of highly motivated and talented postdoctoral researchers to join our team. The successful candidate will work on cutting-edge research involving Large Language Model (LLM) Agents.

• 1-2 years, with the possibility of extension based on performance and funding
• Conduct innovative research on LLM Agents
• Collaborate with a multidisciplinary team of researchers
• Publish high-quality research papers in top-tier conferences and journals
• Mentor graduate and undergraduate students
• Present research findings at international conferences and workshops

Qualifications:
• Ph.D. in Computer Science, Computer Engineering, or a related field earned at most in the last 2 years
• Strong background in natural language processing, machine learning, and artificial intelligence
• Experience with large language models and their applications
• Excellent programming skills (Python, and PyTorch, etc.)
• Strong publication record in relevant areas
• Excellent communication and teamwork skills

Interested candidates should submit the following documents to [email protected] by Feb. 7th:
• A cover letter describing your research interests and career goals
• A detailed CV, including a list of publications
• Contact information for at least two references

For more information about our recent research topics, please check out my google scholar: https://scholar.google.com/citations?hl=en&user=pRyJ6FkAAAAJ&view_op=list_works&sortby=pubdate.

BY RIML Lab




Share with your friend now:
tg-me.com/RIMLLab/155

View MORE
Open in Telegram


RIML Lab Telegram | DID YOU KNOW?

Date: |

Why Telegram?

Telegram has no known backdoors and, even though it is come in for criticism for using proprietary encryption methods instead of open-source ones, those have yet to be compromised. While no messaging app can guarantee a 100% impermeable defense against determined attackers, Telegram is vulnerabilities are few and either theoretical or based on spoof files fooling users into actively enabling an attack.

That strategy is the acquisition of a value-priced company by a growth company. Using the growth company's higher-priced stock for the acquisition can produce outsized revenue and earnings growth. Even better is the use of cash, particularly in a growth period when financial aggressiveness is accepted and even positively viewed.he key public rationale behind this strategy is synergy - the 1+1=3 view. In many cases, synergy does occur and is valuable. However, in other cases, particularly as the strategy gains popularity, it doesn't. Joining two different organizations, workforces and cultures is a challenge. Simply putting two separate organizations together necessarily creates disruptions and conflicts that can undermine both operations.

RIML Lab from kr


Telegram RIML Lab
FROM USA