國立清華大學通訊所
誠徵人工智慧以及通訊相關科技部計畫之
博士後研究員及碩士級研究助理

1. 工作內容：
   • 參與國立清華大學通訊工程研究所 洪樂文教授 團隊，執行「AI 創新研究中心」以及通訊相關專案計畫。
   • 負責人工智慧以及通訊系統之演算法開發、數據分析、理論研究等。
   • 蒐集並整理相關資料、協助撰寫論文與報告以及其他交辦事項。
2. 資格需求：
   • 博士後研究員：具備國內外電機、通訊、資訊等相關科系之博士學位。
   • 研究助理：具備國內外電機、通訊、資訊等相關科系之碩士學位。
   • 研究領域：訊號處理、機器學習、通訊、資訊、最佳化等相關領域。
   • 個性積極，具備良好的溝通協調、自我學習能力及團隊合作精神。
3. 待遇與福利：
   • 月薪依能力和經驗審核加給，博士後研究員：六萬至九萬；研究助理：四萬至六萬。
   • 年終1.5個月；未滿一年按比例支給。
4. 工作地點： 國立清華大學通訊工程研究所
5. 應徵資料：
   • 履歷（含照片、自傳、email、聯絡電話）。
   • 最高學歷證書及其他有利證明文件影本。
6. 應徵方式：將應徵資料整合為一份 PDF 檔 ，E-mail至洪樂文教授(ywhong@ee.nthu.edu.tw)或林欣儀小姐(hy_lin@mx.nthu.edu.tw) 標題請註明「應徵  專任博士後研究員-OOO(姓名)」或「應徵  研究助理-OOO(姓名) 」。
7. 工作日期：經錄用後即可起聘。至少一年，視計畫執行狀況，至多展延至4年。

聯絡人：

通訊所 洪樂文 教授

Email: ywhong@ee.nthu.edu.tw
 

Postdoctoral Researcher and Research Assistant Positions
in AI, Machine Learning, and Communications
National Tsing Hua University, Taiwan

Qualifications: Postdoctoral researchers must have PhD in electrical engineering, information and communications engineering, computer science or closely related discipline. Research assistants require MS degree in the above fields.

Areas of Specialty: signal processing, communications, machine learning, computer science, optimization or closely related discipline.

Location: National Tsing Hua University, Hsinchu, Taiwan

Salary: PhD: ~NTD 60000 to 90000 (USD $2000 to $3000) per month for 13.5 months*; MS: ~NTD 40000 to 60000 (USD $1300 to $2000) per month for 13.5 months.

*[As reference, studio apartment in Hsinchu, Taiwan, is approx. USD$300 per month, lunch/dinner is approximately USD$3 per meal. Additional 1.5 month bonus depends on months of employment.]

The position is available for 1 year, but may be extendable up to 4 years. The project is supported by the Innovative AI Program under the Ministry of Science and Technology, Taiwan. Applications are accepted immediately and will be considered until the positions are filled.

Successful candidates will work closely with a team of over 40 MS and PhD students led by Prof. Y.-W. Peter Hong and Prof. Chi-Chun Lee from National Tsing Hua University, Prof. I-Hsiang Wang from National Taiwan University, and Prof. Shih-Hau Fang from Yuan-Ze University, as well as several domestic and international collaborators. The topics of interest include, but are not limited to, the following:

• Matrix/Tensor Factorization
• Rank Aggregation
• Deep learning
• Learning for Communications
• Distributed Learning
• Optimization Theory
• Wireless Communications and Networking
• Sparsity-Awareness/Compressive Sensing

Inquiries and applications should be directed to Prof. Y.-W. Peter Hong (Email: ywhong@ee.nthu.edu.tw).