CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
教授 @國立政治大學2000 ~ 現在
・
研究人員、代筆寫作
一個月內
正大代筆 Taipei City, Taiwan || [email protected] 官網: https://zhengdalunwenyanjiusuojijiuzhan.webnode.tw Tasker的朋友大家好我們是正大代筆。我們的團隊已經擁有二十多年以上的代筆經驗，處理過的案件包括學術文章寫作與校稿、學術文章翻譯、新聞稿代筆、政府補助與標案等計畫書代撰、簡報代
就職中
・
正在積極求職中
全職 / 我只想遠端工作
15 年以上
國立台灣政治大學
・
經濟學
待業中
・
正在積極求職中
兼職 / 對遠端工作有興趣
4 到 6 年
國立臺北大學
・
數位行銷學士學位學程
Associate Research Scientist @Food Industry Research and Development Institute2017 ~ 現在
・
中英口筆譯員、 補習班教師
半年內
件、影視字幕、使用手冊、產品規格書、網站素材、招標文件、年報、財報與ESG報告書等 • 2022年成立個人翻譯工作室--方譯達，提供專業學術與技術文件翻譯及編修服務，迄今已服務超過20家企業客戶 • 於補習班教授托福(TOEFL)口說與寫作、美國大學先修課程與
就職中
兼職 / 我只想遠端工作
4 到 6 年
Cornell University
・
Food Science and Technology
曾任
助理教授 @空軍航空技術學院2015 ~ 現在
・
助理教授
兩個月內
體 Matlab Microsoft Office Linux Weather Research and Forecast Model 特殊專長 機器學習 無人機專業高級操作證 Arduino實作 天氣及氣候預測 氣象數值模擬 語言 中文 英語 學術表現及經驗 論文發表 戴世忠 ：應用秩等級分布恆常性於氣候預測的可行性研究與層位渦收支分析初探。國立中央大
待業中
全職 / 對遠端工作有興趣
15 年以上
國立中央大學
・
大氣科學
門市業務銷售 @林曉同珠寶2013 ~ 2015
・
超過一年
數據資料納入本公司的資料庫以拓展亞太市場。 1.陌生開發 a.蒐集整理出版社、政府單位、科研單位等擁有圖文資訊、學術研究之重要機構，並從中篩選出潛在合作名單。 b.針對潛在合作單位、準合作單位以電話開發、電郵開發方式，開啟聯
6 到 10 年
Internship @National Taiwan Normal University2017 ~ 現在
・
Supervisor
超過一年
研究計畫（計畫編號：CB） 2016：科技部大專學生研究計畫（計畫編號：CB） 2014：財團法人台北市玉泉公益教育基金會獎學金 其他專長與技能 學術 1. 植物學、演化生物學 2. 族群遺傳、親緣重建、其他演化分析 3. 中文學術寫作、英文期刊論文寫作 SCI論文
4 到 6 年
National Taiwan University
兼職 / 對遠端工作有興趣
15 年以上
私立元智大學
・
博物館學、管理學就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
Newtype International Language School
・
英文
遊戲編劇｜接案作家｜AI Artist @自由接案2010 ~ 現在
・
遊戲企劃
一個月內
Kadee 呂蕙如 世界觀架構師 | 資深遊戲企劃 | 圖文作家 Senior Narrative designer [email protected] ▲ 多年遊戲開發經驗，主導專案包括歷史、神話、奇幻、戀愛、科幻等題材 ▲ 擅長整體世界觀架構，遊戲文案，沉浸式包裝，系統功能整合 ▲ AI繪圖研究者，應用多項熱門AI工具，加快
就職中
全職 / 對遠端工作有興趣
6 到 10 年
中國文化大學
・
新聞傳播學院-廣告系
行政
一年內
帳務結算及發票開立 Who am I 大家都知道的我 喜歡閱讀，喜歡思考背後想傳達的意義。 喜歡看劇，喜歡天馬行空的浪漫。 喜歡寫作，喜歡用或短或長的文字訴說你我的故事。 喜歡聽歌，喜歡隨著音符擺動身體哼唱。 喜歡美食，喜歡飽足的幸福感。 喜歡手
待業中
全職 / 對遠端工作有興趣
6 到 10 年
淡江大學
・
中文最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就職中
求職階段
專業
產業
工作年資
小於 1 年
管理經歷
無
技能
語言能力
English
・
中階
求職偏好
希望獲得的職位
PHD Student
預期工作模式
全職
期望的工作地點
United States
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
National Chung Cheng University
主修科系
Computer Science and Information Engineering
Research Experience
Research Assistant
Pennsylvania State University• 08.2023 - Present
- Reinforcement Learning for Advanced Persistent Threat
- Analyzing real-world enterprise login data and network data to reconstruct the actual network environment.
- Simulating the attack behavior of APT groups such as APT28 or APT41.
Academia Sinica • 09.2021 - 06.2023
- Graph-based Neural Attack Behavior Detection and Alignment with Kernel Audit Logs for Advanced Persistent Threats
- Simulated APT attack on Linux and Windows
- Developed a theory for efficiently reducing kernel audit logs to ensure the high quality of behavior detection
- Developed models leveraging graph embedding to correlate and mine suspicious behavior in audit logs
- Modeling Threat Representation through Building Cyber Threat Knowledge Base for Advanced Persistent Threats
- Developed models to extract semantic context from cyber threat intelligence platforms for generating provenance graphs
- Using Honeypot Logs and Packets for Identifying Network Attack Patterns and their Signature
- Utilizing BERT-based models to analyze packets and logs from honeypots provided by Soft Bank
M.S.
National Chung Cheng University • 09.2019- 07.2021
- Driving Behavior Recognition based on Generative Adversarial Networks
- Developed a redesigned model for identifying whether drivers are the owners of cars
- Developed a mechanism for ensuring the reliability of the detection system
- Evaluating the accuracy of several types of GAN in different situations
Work Experience
Network administrator
College of Engineering in CCU• 09. 2019 - 09. 2020
- Maintained and administered the college's firewalls and network infrastructures
- Managed the college's services, such as websites, VPN, and DNS
Education
PhD in Informatics
Penn State University• 08. 2023 - present
M.S . in Computer Science and Information Engineering
National Chung Cheng University • 09. 2019 - 07.2021
Publication
- P.-Y. Tseng, P.-C. Lin, Edy Kristianto, Vehicle Theft Detection by Generative Adversarial Networks on Driving Behavior. Engineering Applications of Artificial Intelligence (published) [Paper]
Project
- Reinforcement Learning for Advanced Persistent Threat
- A novel approach to defend against APT attacks, specifically targeting lateral movement.
- To formulate APT attack into Observable Markov Decision Process (POMDP) problems
- APT Discovery using OSINT and Network & System Logs
- Integrated Open-source intelligence, Cyber threat intelligence, and MITRE ATT&CK framework into a cyber threat knowledge base, and developed neural network architectures to analyze and detect APT attacks in a multi-host environment.
- Aligned the observed evidence to adversary lifecycle and correlated the relation between the detected
attacks and known attackers.
Skills
- Python
- TensorFlow
- PyTorch
- Bash scripting
- Neo4J
- Linux Shell
- Java
- C#
- C
Research Experience
Research Assistant
Pennsylvania State University• 08.2023 - Present
- Reinforcement Learning for Advanced Persistent Threat
- Analyzing real-world enterprise login data and network data to reconstruct the actual network environment.
- Simulating the attack behavior of APT groups such as APT28 or APT41.
Academia Sinica • 09.2021 - 06.2023
- Graph-based Neural Attack Behavior Detection and Alignment with Kernel Audit Logs for Advanced Persistent Threats
- Simulated APT attack on Linux and Windows
- Developed a theory for efficiently reducing kernel audit logs to ensure the high quality of behavior detection
- Developed models leveraging graph embedding to correlate and mine suspicious behavior in audit logs
- Modeling Threat Representation through Building Cyber Threat Knowledge Base for Advanced Persistent Threats
- Developed models to extract semantic context from cyber threat intelligence platforms for generating provenance graphs
- Using Honeypot Logs and Packets for Identifying Network Attack Patterns and their Signature
- Utilizing BERT-based models to analyze packets and logs from honeypots provided by Soft Bank
M.S.
National Chung Cheng University • 09.2019- 07.2021
- Driving Behavior Recognition based on Generative Adversarial Networks
- Developed a redesigned model for identifying whether drivers are the owners of cars
- Developed a mechanism for ensuring the reliability of the detection system
- Evaluating the accuracy of several types of GAN in different situations
Work Experience
Network administrator
College of Engineering in CCU• 09. 2019 - 09. 2020
- Maintained and administered the college's firewalls and network infrastructures
- Managed the college's services, such as websites, VPN, and DNS
Education
PhD in Informatics
Penn State University• 08. 2023 - present
M.S . in Computer Science and Information Engineering
National Chung Cheng University • 09. 2019 - 07.2021
Publication
- P.-Y. Tseng, P.-C. Lin, Edy Kristianto, Vehicle Theft Detection by Generative Adversarial Networks on Driving Behavior. Engineering Applications of Artificial Intelligence (published) [Paper]
Project
- Reinforcement Learning for Advanced Persistent Threat
- A novel approach to defend against APT attacks, specifically targeting lateral movement.
- To formulate APT attack into Observable Markov Decision Process (POMDP) problems
- APT Discovery using OSINT and Network & System Logs
- Integrated Open-source intelligence, Cyber threat intelligence, and MITRE ATT&CK framework into a cyber threat knowledge base, and developed neural network architectures to analyze and detect APT attacks in a multi-host environment.
- Aligned the observed evidence to adversary lifecycle and correlated the relation between the detected
attacks and known attackers.
Skills
- Python
- TensorFlow
- PyTorch
- Bash scripting
- Neo4J
- Linux Shell
- Java
- C#
- C