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一、崗位職責： ??????AI平臺建設與維護 ??????負責學校AI計算平臺（如GPU集群、云計算資源）的搭建、優(yōu)化與運維 ??????開發(fā)和管理AI訓練/推理平臺，支持校內科研團隊的模型訓練與部署 ??????AI技術支持 ??????為校內師生提供AI技術咨詢，協(xié)助解決算法實現(xiàn)、數(shù)據(jù)清洗、模型優(yōu)化等問題 ??????參與跨學科AI項目（如智慧校園、教育大數(shù)據(jù)分析、科研AI工具開發(fā)） ??????AI工具與系統(tǒng)開發(fā) ??????開發(fā)校內AI應用（如智能問答系統(tǒng)、學術文獻推薦、教學數(shù)據(jù)分析） ??????優(yōu)化AI模型部署（如TensorRT加速、ONNX轉換、邊緣計算適配） ??????培訓與知識共享 ??????組織AI技術培訓（如Python編程、深度學習入門、AI工具使用） ??????編寫技術文檔，推動校內AI技術普及 ? AI Platform Construction and Maintenance Responsible for the setup, optimization, and maintenance of the university’s AI computing platforms (e.g., GPU clusters, cloud computing resources). Develop and manage AI training/inference platforms to support model training and deployment for research teams. ? AI Technical Support Provide AI technical consultation for faculty and students, assisting with algorithm implementation, data cleaning, model optimization, etc. Participate in interdisciplinary AI projects (e.g., smart campus initiatives, educational big data analysis, research-oriented AI tool development). ? AI Tool and System Development Develop in-house AI applications (e.g., intelligent Q&A systems, academic literature recommendation, teaching data analysis). Optimize AI model deployment (e.g., TensorRT acceleration, ONNX conversion, edge computing adaptation). ? Training and Knowledge Sharing Organize AI technical training sessions (e.g., Python programming, deep learning fundamentals, AI tool usage). Prepare technical documentation and promote AI technology adoption across the university. 二、任職要求： 最低學歷要求：碩士及以上學歷 專業(yè)要求：人工智能、機器人、飛行器控制、電子與電氣工程等相關專業(yè) 語言要求：具備良好的英語聽說讀寫能力。 其他： ??????熟悉機器學習、深度學習、數(shù)據(jù)處理、數(shù)據(jù)分析等AI算法與工程； ??????有高校工作經(jīng)驗、海外留學經(jīng)驗優(yōu)先考慮； ??????有良好的溝通能力、團隊協(xié)作能力，很強的學習能力。 此崗位需要英文面試+筆試。 Educational background: Master's degree or above Major: Relevant majors such as Artificial Intelligence, Robotics, Aircraft Control, Electronics and Electrical Engineering, or related fields. Language preference: Possess strong English listening, speaking, reading, and writing skills. Others: ? Proficient in AI algorithms and engineering, including machine learning, deep learning, and data processing/analysis. ? Candidates with university work experience or overseas study background are preferred. ? Strong communication, teamwork, and fast-learning abilities. This position requires an English interview and a written test.