Academia Sinica Logo

本實驗室利用蘚苔為實驗材料，致力於研究陸生植物的外表形
態環境適應及其訊號傳遞的演化過程機制。本計畫會用到分子
生物、遺傳、基因組編輯、顯微鏡觀察及蛋白純化等技術。歡
迎對植物研究工作有熱忱的你加入。
The lab is using moss (Physcomitrium patens) as a model to
investigate various developmental biology-related questions
in plants. The lab routinely employs techniques such as
genetic manipulations, protein expression/purification, and
confocal microscopy observation. We encourage those
interested in plant biology to be part of the team.
實驗室網站：https://sites.google.com/view/kock-lab/home

The lab is using moss (Physcomitrium patens) as a model to
investigate various developmental biology-related questions
in plants. The lab routinely employs techniques such as
genetic manipulations, protein expression/purification, and
confocal microscopy observation. We encourage those
interested in plant biology to be part of the team.
實驗室網站：https://sites.google.com/view/kock-lab/home

We are actively seeking Research Assistants with an interest in chromatin biology, gene regulation, and functional genomics to join our team. The successful candidate will have strong organizational
skills and enthusiasm for working in a collaborative research environment. We investigate how disease-associated mutations in chromatin regulators and histones disrupt gene regulation.
Research Assistants will support ongoing projects through basic cloning, molecular biology and tissue culture, and will have opportunities to learn CRISPR-based mutagenesis and genomics
techniques.

Overview
We are seeking 1–2 postdoctoral fellows to join our lab in studying polymicrobial
interactions and host–microbe interactions with agricultural relevance. Our research
integrates comparative genomics, ecological sampling, microbial genetics, and
functional assays to understand how fungi, bacteria, and phages interact within
polymicrobial communities and how these interactions influence microbial pathogenesis
in plant hosts.
Our lab has strong expertise in functional genomics and experimental evolution, using
bottom-up approaches to address these questions. We welcome postdoctoral
researchers with complementary interests—such as plant immunity, evolutionary
genomics, or microbial ecology—to join our team. This position is ideal for recently
graduated PhD scientists who are passionate about microbial interactions and aspire to
pursue a faculty position in academia.
The position is open until filled.
Lab website: www.labofpie.org
Research Topics
1. Genetic basis of fungal–bacterial–phage interactions and their impact on
microbial community development
2. Comparative analysis of microbial pathogenic genes in single versus mixed
infections
3. Bioinformatic and evolutionary analysis of antimicrobial genes in plant pathogens
Job Responsibilities
1. Lead and contribute to independent and collaborative research projects
2. Design and conduct experiments and/or computational data analyses
3. Develop and maintain standardized laboratory protocols or bioinformatic
pipelines
4. Actively participate in manuscript preparation and scientific presentations
5. Mentor graduate and undergraduate researchers

We are seeking 1-2 M.S.-level research associates to join us in dissecting the
mechanisms and consequences of fungal-bacterial competition. We focus on the
interaction between Pseudomonas species and fungal plant pathogens. Using
ecological, functional genomic, and genetic approaches, we aim to determine whether
bacterial defense mechanisms are specific or general against multiple fungi, and vice
versa. Check our lab website: www.labofpie.org
Research topics
1. Functional genomic investigation of fungal or bacterial defense genes
2. Ecology and sampling of Pseudomonas species and interacting fungi in the wild
3. Co-evolutionary consequences of competing fungi and bacteria
Job description:
1. Lead and execute a small-scale independent research project.
2. Present data at the lab meeting and provide weekly research updates
3. Participate in joint lab meetings and journal clubs

This position is ideal for someone who seeks graduate-level training and have strong
interest in microbial ecology and genetics. This position is open until filled

研究聚焦於離線RL(Reinforcement Learning)、穩健性RL模型，以及在金融與機器人等真實場域的應用。
主要職責
- 進行 RL 相關研究
- 主導或參與頂尖國際會議／期刊投稿
- 協助撰寫研究計畫並推動產學合作

We seek a highly motivated postdoctoral researcher who wants to push the frontier of sequential decision-making under uncertainty and deploy results in impactful domains.

- Conduct independent and collaborative research on RL
- Co-supervise graduate students and research assistants
- Lead or contribute to top-tier conference/journal submissions
- Assist with grant writing and industry collaborations

Research on Optimization of Deep Learning Model Inference and Training

The Computer Systems Laboratory - Machine Learning Systems team focuses on research areas including parallel and distributed computing, compilers, and computer architecture. We aim to leverage computer system technologies to accelerate the inference and training of deep learning models and develop optimizations for next-generation AI models. Our research emphasizes the following:

1. AI Model Compression and Optimization
Model compression techniques (e.g., pruning and quantization) reduce the size and computational demands of AI models, which are crucial for resource-constrained platforms such as embedded systems and memory-limited AI accelerators. We aim to explore:
* AI compiler: deployment methods for compressed models across servers, edge devices, and heterogeneous systems.
* High performance computing: efficient execution of compressed models on processors with advanced AI extensions, e.g., Intel AVX512, ARM SVE, RISC-V RVV, and tensor-level accelerations on GPUs and NPUs.

2. AI Accelerator Design
We aim to design AI accelerators for accelerating AI model inference, focusing on software and hardware co-design and co-optimization.

3. Optimization of AI Model Inference in Heterogeneous Environments
Computer architectures are evolving toward heterogeneous multi-processor designs (e.g., CPUs + GPUs + AI accelerators). Integrating heterogeneous processors to execute complex models (e.g., hybrid models, multi-models, and multi-task models) with high computational efficiency poses a critical challenge. We aim to explore:
* Efficient scheduling algorithms.
* Parallel algorithms for the three dimensions: data parallelism, model parallelism, and tensor parallelism.

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.

We are looking to hire experienced mobile developers to help bring the PQConnect project to Android and iOS. PQConnect is a new easy-to-install layer of Internet security. It automatically applies post-quantum cryptography from end to end between computers running PQConnect, adding cryptographic protection to unencrypted applications, working in concert with existing pre-quantum applications to add post-quantum protection, and adding a second application-independent layer of defense to any applications that have begun to incorporate application-specific post-quantum protection. PQConnect works at the network layer similarly to a VPN, but is scalable in ways that most VPN applications are not. You can see more information at https://www.pqconnect.net

Our research team is seeking 1–2 motivated Research Assistants to join us in studying the ecology and evolution of microbial symbiosis in plant–microbe systems. We integrate field ecology, molecular microbiology, and genomic analyses to understand how microbial communities assemble and adapt across hosts and environments. This position is open until filled.
本研究團隊誠徵 1–2 位研究助理，加入我們研究植物–微生物共生系統之生態與演化。研究內容結合田野生態、分子微生物學及基因體分析，探討微生物群落如何在不同宿主與環境中組成與適應。本職缺即日起開放申請，額滿為止。

Current research topics
- The effect of host identity on symbiont community assembly
- Ecological genomics of symbionts across co-occuring native plant hosts
- Functional variation in ecologically important traits in faculative symbionts
目前研究主題：
- 宿主對其共生菌相之影響
- 共生菌在不同植物宿主間的生態基因體學研究
- 兼性共生菌其不同特徵的功能變異

Job description (Tasks are flexibly assigned; not all are required)
- Conduct field sampling, mostly in roadside, urban, and agricultural environments
- Isolate, culture, and maintain rhizobia strains and associated host plants
- Perform microbiological and molecular experiments (e.g., DNA extraction, NGS library preparation, sequencing)
- Design and conduct genomic experiments and analyses
- Perform bioinformatic analyses (e.g., genome assembly, annotation, and phylogenomics)
- Manage routine laboratory tasks and other assigned duties
工作內容（彈性分配，非所有項目皆為必須）：
- 田野採樣（主要於道路、都市綠地及農業環境）
- 共生菌株與宿主植物之分離、培養與維護
- 執行微生物與分子實驗（如 DNA 萃取、NGS 文庫製備與定序）
- 進行生物資訊分析（基因體組裝、註解、系統基因體學等）
- 實驗室日常管理與其他交辦事項

Our research team is seeking a Postdoctoral Researcher to join us in studying the ecology and evolution of microbial symbiosis in plant–microbe systems. We integrate field ecology, molecular microbiology, and genomic analyses to understand how microbial communities assemble and adapt across hosts and environments. This position is open until filled.
Current research topics
- The effect of host identity on symbiont community assembly
- Ecological genomics of symbionts across co-occuring native plant hosts
- Functional variation in ecologically important traits in faculative symbionts

Job description
- Lead and particiapte in research projects
- Design and conduct experiments and data analyses
- Actively contribute to scientific writing and presentations
- Mentor junior researchers and assist in training activities
- Manage routine laboratory tasks and other assigned duties

• 從事腦機介面或AR/VR/MR的相關研究。
• 提出假設，設計實驗，並進行數據收集。
• 分析電生理訊號（包括但不限於EEG、EMG、EOG、SSVEP、眼球追蹤器等）並彙總發現。
• 撰寫科學論文並發表成果。
• 與其他團隊成員合作，記錄和轉移開發的技術。
• Carry out research in the field of Brain-Computer Interfaces or AR/VR/MR.
• Formulate hypotheses, plan user studies, and carry out data collection.
• Analyze the collected bio-signals (include but not limited to EEG, EMG, EOG, SSVEP, eye-tracker.. ) and summarize the findings.
• Contribute to the design of innovative devices for collecting bio-signals and test them.
• Write scientific papers detailing findings for scientific conferences and journals.
• Cooperate with other team members and business groups on documenting and transferring the developed technologies.