職位需求（投簡歷務必要中英文雙版，謝謝） 職位需求 數據分析研究員 科伊思正在尋找一位熱情且有才華的數據分析師，其專注于開發數據分析的一般理論和方法，該方法適用于開發智能計算的數學框架。 職責： 1.參與開發用于定義、處理和分析數據的理論和方法基礎。該理論將支持各種具有不確定性情況的本體論基礎，以便能夠有效地提供必要的數據來減少不確定性。相關方法還提供觀察和測量理論方面的內容。 2.參與開發統一的理論框架，確保從統一的方面呈現各種數據分析方法。該框架還指定了各個數據分析方法的應用條件。這些條件旨在確保將各個方法納入基于邏輯的推理過程以及個體認知功能的實施過程，例如認知、解決問題、做出決策和建模。 3.參與開發統一的理論框架，該框架能夠確保開發出表征現象和事件的結構、操作、功能和行為的靜態和動態特性所必需的模型。建模可以使用數學、分析、統計和機器學習方法。在這些方法中，理論框架幫助做出具有價值效率和目標導向的選擇。 4.參與開發認知數據分析方法，該方法可以提供以目標和問題為導向搜索和生成數據的工具，然后檢查其基本屬性，并提供與認知功能綜合兼容的分析器。 5.參與開發數學方法，使在高維空間中表示的數據集能夠映射到低維空間，以便這些表示適合解決隱藏結構和關系的重建問題。 Expectations from the job applicant for Data analyst researcher COIOS (Tianjin) is looking for an enthusiastic and talented Data analyst researcher with keen attention to developing a general theory and methodology of data analysis, which is suitable for developing the mathematical framework of intelligent computation. Responsibilities i.Participation in the development of the theoretical and methodological basis for defining, handling and analysing data. The theory will support the ontological foundation of various uncertainty-bearing situations in the interest of being able to efficiently provide the necessary data to reduce uncertainty. The related methodology also provides observational and measurement theoretical aspects ii.Participation in the development of a unified theoretical framework, which ensures the presentation of various data analytical methods according to unified aspects. The framework also specifies application conditions for individual data analysis methods. These conditions are intended to ensure the inclusion of individual methods in logic-based reasoning processes and in the implementation processes of individual cognitive functions, such as cognizing, problem solving, decision making, and modelling. iii.Participation in the development of a unified theoretical framework that can ensure the development of the models necessary to characterize the static and dynamic properties of the structure, operation, functions, and behaviour of phenomena and events. Modelling can use mathematical, analytical, statistical and machine learning methods. Among these, the theoretical framework helps you to make a value-efficient and goal-oriented choice. iv.Participation in the development of a cognitive data analysis methodology that can provide tools to search for and produce data in a goal- and problem-oriented manner, then examine their basic properties and provide an analyzer compatible with the synthesis of cognitive functions v.Participation in the development of mathematical methods that enable data sets represented in a high-dimensional space to be mapped into a smaller-dimensional space, so that these representations are suitable for solving the reconstruction problems of hidden structures and relationships. 資質與技能： 潛在候選人應具備的預期學術和專業技能： 英語聽說讀寫流利，要求大學英語四級（CET - 4）及以上水平，或具備同等英語能力，能滿足日常工作中的英語使用需求，可做無障礙國際交流。 1.擁有數學碩士或博士學位，專業方向為概率論、統計學、數學優化和數理邏輯。 2.理解理論計算機科學以及人工智能技術和數學基礎及基本技術。 3.了解相關方法和途徑。 4.具有創造性思維，可發現新機會。 5.對發現和開發新解決方案有科學興趣。 6.具有充分、透徹和令人信服的數學基礎知識。 7.具備出色的溝通技巧。 8.樂于在團隊協作的環境中工作。 工作地點及薪資待遇： 1.工作地點：天津或北京。 2.薪資待遇：根據能力和崗位匹配度，薪資可面議。 Qualifications and Skills The expected academic and professional skills to be possessed by a potential candidate: Fluent in written and spoken English, CET-4 or equivalent English ability, able to meet the needs of daily work, and able to communicate fluently in English. ?Master’s degree in mathematics with a focus on probability theory, statistics, mathematical optimization and mathematical logic ?Understanding of theoretical computer science and AI. technological and mathematical foundations and the basic techniques ?Knowledge of relevant approaches and methods ?Creative thinking to recognize new opportunities ?Scientific interest in discovering and developing new solutions ?Adequate, thorough and convincing knowledge of mathematical foundations ?Excellent communication skills ?Ready to work within a collaborative environment with teams Working Place & Salary ?Working place： Tianjin or Beijing ?Salary： The salary is negotiable based on abilities and person-job fit.