中央研究院 Logo

1.程式撰寫以及資料處理。
2.報告撰寫。

- 統計學及資料科學的理論、方法、或應用研究
- 計畫執行與研究成果報告撰寫
- 臨時交辦事項

協助發展統計、machine learning & AI(LLM)等計算方法，應用於predicting drug responses of cancer patients, uncovering biomarkers for immunotherapy (免疫治療), via analyzing genomics data, gene expression and omics data, etc.

The Institute of Information Science at Academia Sinica, Taiwan, R.O.C. seeks candidates for the position of assistant research fellows(equivalent to the rank of assistant professor), in areas related to Intelligence Computing /Theory/System Researches.
Academia Sinica is a national academic research institution in Taiwan. Led by Dr. James C. Liao, a world-renowned scientist and the chief scientific advisor to the R.O.C. government, Academia Sinica conducts research on a broad spectrum of subjects in science and humanities. The Institute of Information Science is committed to quality research in computer and information science. There are over 300 full-time postdoctoral fellows and research assistants (mostly with master degree) working with a faculty of nearly 40 research fellows on various projects. Excellent computing facilities and lab spaces are available for dedicated long-term research. Current research activities are focused on Algorithms and Computation Theory, Machine Learning, Artificial Intelligence, Quantum Computing, Cryptography, Bioinformatics, Natural Language Processing, Data Mining, Formal Methods, Multimedia, Computer Systems, and Networking.
All candidates should have a Ph.D. degree in computer science or closely related fields with good research background and publication records. Salary is based on individual qualification. Additional compensation up to 40% for the first two to three years is available for applicants with exceptional qualifications. In addition to the budgeted research funding supported within Academia Sinica, external funding from government agencies and industry-sponsored institutions is also available.

協助發展及應用統計、機器學習等計算方法，分析基因表現和組學(omics)數據等，應用於預測癌症患者的對免疫治療/標靶藥物反應，發現免疫治療(immunotherapies)的生物標記 (biomarkers)。

【工作內容】
1. 學習與運用大數據分析與雲端計算、人工智慧(AI)與深度學習，來進行基因體/轉錄體/蛋白質體等多維體之大量序列資訊與人體資料庫相關的應用分析。
2. 進行程式軟體專案開發以及論文撰寫，軟體專案將會發表於GitHub/ DOCKER Hub上，供全球相關研究社群使用，同時也將有機會參與相關和業界及國際學界之合作計畫。

【本實驗室之研究標的】
1. 建置可應用於人類腸道微生物相分型與大量單細胞分類之人工智慧模型。
2. 協助高經濟養殖生物全基因體組裝註解、基因體育種策略之開發與資料庫建置等。
3. 以第三世代長片段定序(Pacbio/ Nanopore)HiFi定序為基礎，結合膜蛋白深度學習模型來找尋新的蛋白標的。
4. 利用機器學習與深度學習策略，發展人工智慧模型，來解析如宿主與病原蛋白質交互網路的拮抗與新藥標的(如新型抗菌肽與功能胜肽)的設計與驗證。
5.利用台灣人體資料庫(Taiwan BioBank)之巨量資料建立高齡健康預測模型，並結合大型語言模型(RAG+LLMs)來進行與生醫農學大數據分析等有趣問題。

【工作環境】
位於中央研究院資訊所內，實驗室軟、硬體配備齊全，具雲端環境及大數據計算平台，可進行多樣的研究計劃，參與國內外合作計畫，並學習到最新的研究技術及方法。同時，院內經常舉辦相關演講與訓練課程，研究與學習環境甚佳，與學界及產業界交流也相當暢通與頻繁。

從事統計方法學研究（存活分析、因果推論、統計基因體學）、應用進階統計模型分析健保資料庫及多型態基因體學資料（Taiwan Biobank、Taiwan Precision Medicine Initiative）、模擬分析、撰寫論文。

工作內容 生物細胞螢光探針研發工作

量子光電技術是未來光量子運算、量子通訊與量子感測的基礎。本研究團隊專注於量子光電元件的技術開發，特別是在高亮度、高效率與高純度的單光子光源以及超高靈敏度與低雜訊的超導奈米線單光子偵測器等領域。我們致力於透過創新研究與技術突破，進一步推動量子科技的實用化應用。

We have two post-doc positions on the following two projects.

1. Excitonic effects on nonlinear optical response
Recent experiments report strong enhancement of nonlinear optical responses due to excitons in some materials but no enhancement in others. Motivated by inconclusive experimental results we aim to develop an efficient first-principle tool to study excitonic effects on nonlinear optical response. We will focus on second harmonic generation and shift current, which are two interesting phenomena and widely measured in the experiment.

2. Role of electron-phonon interactions in optically driven systems from first principles
This project aims to understand the role of electron-phonon couplings (EPCs) in optically driven systems from first principles. The fundamental question we want to address is the intricate interplay between electron-light, electron-hole (e-h) and electron-phonon (e-ph) interactions in ultrashort time scale. We will focus on the role of EPC in (1) optical response and phonon spectroscopy, (2) ultrafast charge, exciton, spin, and valley transfer in two-dimensional materials, and (3) optical control of structure, electron dispersion, and light-induced phase transitions.

本實驗室主要發展與應用中紅外/THz光譜技術來研究光與物質之時間解析光譜、反應動力學及大氣化學等相關之跨領域應用。實驗室亦開發各式新穎之光譜技術用於痕量分子檢測。實驗中可參與學習 (1)光學、真空、電子電路系統架設 (2) 控制與分析程式之編寫 (3) 實驗數據分析與模擬。表現優異者可獲出國開會或國際學術交流之機會。

獨立從事化學領域尖端研究，各個化學領域均可申請，以能源相關材料科學和理論化學計算之相關領域優先。