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博士後研究員

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博士後研究員

National Chung Cheng University

博士後研究員

Skills

PythonPyTorchTensorFlowMATLAB

13 days ago

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Important information


Contract type:

Permanent

Location:

Chiayi, West District, Chiayi City, Taiwan 600

Work mode:

Onsite

Published on:

13 October 2026

What they need


The Advanced Network Lab (ANT) at National Chung Cheng University (CCU), Taiwan, invites applications for a full-time, on-site Postdoctoral Research Fellow position funded by the National Science and Technology Council (NSTC).

[Research Scope & Responsibilities]

  • 6G Integrated Sensing and Communications (ISAC) system-level performance evaluation.

  • Deep Reinforcement Learning (DRL) algorithms (e.g., DDPG, PPO) for Reconfigurable Intelligent Surfaces (RIS) and network optimization.

  • Standard-compliant channel modeling and simulation frameworks (e.g., 3GPP TR 38.901, QuaDRiGa, Sionna, or custom MATLAB/Python environments).

  • Preparing research manuscripts for submission to top-tier IEEE journals and conferences.

[Qualifications]

  • Ph.D. degree in Communications Engineering, Electrical Engineering, Computer Science, or related fields (awarded or expected by Jan/Feb 2027).

  • Strong mathematical background in wireless communication theory, signal processing, and optimization.

  • Hands-on implementation and programming proficiency in MATLAB and/or Python (PyTorch/TensorFlow).

  • Proven track record of high-quality scholarly publications in recognized IEEE transactions or journals.

  • Mandatory Requirement: Willingness and capability to relocate and work strictly FULL-TIME ON-SITE at CCU in Chiayi, Taiwan. (Remote working from abroad is strictly prohibited by national funding regulations).

[Compensation & Benefits]

  • Standard NSTC postdoctoral package (approx. NT$ 64,270 per month, subject to statutory deductions).

  • Labor insurance, national health insurance, and statutory benefits according to Taiwan regulations.

  • Initial appointment with possibility of extension based on performance and project duration.

[How to Apply]

Interested candidates should submit their full CV (including publication list), a brief summary of research achievements/interests, and contact information for 2 references directly to Prof. Jen-Yi Pan at:

Email: [email protected]

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