Academia Sinica Logo

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.

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 European and American Studies (IEAS) at Academia Sinica in Taiwan is seeking applications for an open-rank faculty position (Assistant Research Fellow (tenure-track), Associate Research Fellow (with consideration for tenure), or Research Fellow (with tenure); which respectively correspond to Assistant Professor, Associate Professor, and Full Professor, but without teaching obligations). The Institute is recruiting in all areas of European and American Studies, with particularly favorable consideration in the fields of British/American/Anglophone Literature (including Cultural Studies); U.S.-Taiwan-China Relations (including U.S. foreign relations, security, and U.S. politics); Demography, Social Stratification; and EU politics, preferably EU environmental politics/Degrowth, EU external relations, preferably EU–Russia relations, EU and Central/Eastern Europe.

(一)動物飼育設備清潔及清洗
(二)場域清消及相關事務處理
(三)廢棄物分類集中清運。

Using the mouse primary sensory cortex as a model, the researcher will assist in exploring the plasticity of cortical neural circuits, as well as the impact and pathogenic mechanisms of sensory cortical dysfunction in Autism Spectrum Disorders.
1.Research Tools: Two-photon microscopy, functional calcium imaging in awake mice, animal behavioral training, mouse genetics, spatial gene expression, and immunostaining.
Note: This role involves survival surgeries, collection of in vivo samples, and other animal experiments that require the sacrifice of laboratory animals.
2.Responsibilities & Training: Independently design and conduct experiments.
(1)Technical Training: Mouse handling/surgery, image data analysis, fluorescent RNA in situ hybridization (FISH), and mouse behavioral assays.
(2) Professional Activities:
- Participate in routine lab progress reports and literature reviews.
- Mentor junior lab members.
- Encouraged to participate in internal (at academia sinica) and external symposia, for poster or oral presentations.

Institutum Iurisprudentiae (Institute of Law) invites
applicants specializes in three areas of legal research, including Law, Science, and Technology; Jurisprudence and Social Change; Empirical Legal Studies on Judicial Systems and Judicial Behaviors (Applying quantitative research method to empirical legal studies) to apply for a faculty position of Assistant Research Professor, Associate Research Professor, or Full Research Professor.

You will assist in exploring the plasticity of sensory cortical neural circuits and their role in the mechanisms of Autism Spectrum Disorders (ASD). The role also includes assisting with routine laboratory administration and management.
1.Research Tools: Two-photon microscopy, functional calcium imaging in awake mice, animal behavioral training, mouse genetics, spatial gene expression, and immunostaining.
Note: This role involves survival surgeries, collection of in vivo samples, and other animal experiments that require the sacrifice of laboratory animals.
2.Responsibilities & Training: conduct experiments under instruction
(1)Technical Training: Mouse handling, image acquisition, data analysis, and mouse behavioral training.
(2)Professional Development:
- Participate in routine lab progress reports and literature reviews.
- Encouraged to participate in internal (at academia sinica) and external symposia, for poster or oral presentations.

Collaborate with doctoral students and postdoctoral researchers to engage in the following research and technical tasks:

*DNA Sequencing Techniques: Responsible for the operation and management of next-generation sequencing (NGS) and third-generation sequencing (Nanopore) platforms, including sample preparation and sequencing data analysis
*Gene Engineering and Synthetic Biology Applications: Design novel carbon-metabolism pathways and apply laboratory evolution to construct microorganisms capable of converting greenhouse gases.

Artificial Directed Evolution Research: Use E. coli as a model organism to study the role and applications of DNA copy-number diversity in accelerating directed evolution.

Assist the research team in the following synthetic biology and metabolic engineering-related projects:

1.Carbon Capture System Design and Optimization: Use synthetic biology and metabolic biology to design and enhance the efficiency of plant carbon capture pathways.
2.Microbial Engineering and Directed Evolution: Use E. coli as a model to engineer and evolve new carbon-fixation routes, then implement them in plants or cyanobacteria to boost carbon-fixation performance.

Carbon Utilization Conversion: Use novel carbon capture model species to convert the fixed carbon sources into high-value products.

[Agrobacterium-mediated transformation]
Research is conducted in a team-based setting. Responsibilities are adjusted according to team members’ background and experience, and relevant training is provided. Tasks involve preparation of Agrobacterium and plant materials, plant infection and transformation experiments, bioinformatics analyses of genomic and transcriptomic data to identify key genes, and molecular genetics approaches to investigate gene functions. For related research projects and recent publications, please see our lab website: https://ipmb.sinica.edu.tw/chkuo/

A. Bioinformatics (NGS / Nanopore Data Analysis)

*Participate in data analysis for high-throughput sequencing experiments such as Illumina/Nanopore
*Establish and maintain NGS/ONT data analysis pipelines, including:
-Quality control (QC), alignment, assembly, and variant detection
-Methylation and other modification analyses
*Write and maintain analysis code (Python/R/bash) to automate, ensure reproducibility, and facilitate handover of processes
*Work closely with experimental staff to discuss experimental design and result interpretation

B. Automation & Agent Builder (Laboratory Automation and AI Agents)

*Assist in building and maintaining laboratory automation systems, such as:
*Automated liquid handling platforms and robotic arms.
*Sensor and monitoring systems (temperature, humidity, equipment status, etc.).
*Collaborate with biological researchers to modularize experimental workflows and design reusable automated workflows.
*Develop "experimental assistant"-type AI agents, including:
*Extracting experimental parameters, workflow planning, and error checking through LLM APIs (e.g., GPT).

Integrating various control programs (Python scripts, REST APIs, MQTT, serial communication, TCP/IP, etc.).

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