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The Center for Survey Research, Research Center
for Humanities and Social Sciences (RCHSS) in
Academia Sinica, Taiwan is looking for motivated
candidates specializing in survey methods,
computational social science, text mining, and data
science to join the Center. We are an
interdisciplinary team of social scientists and data
science researchers with the goal of integrating
different research methods to advance
understanding of human behaviors and social
issues. We invite applications from outstanding
candidates for the tenure-track position at the
Assistant, Associate, or Full Research Fellow level
(equivalent to Assistant, Associate, or Full
Professors, respectively, at university).

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 applicant should specialize at least one of the following fields: (1) GeoAI; (2) Geo-Computing; (3) Computational Social Science; or, (4) Geographic Information Science related research.

地理人工智慧 (GeoAI)、地理計算(Geo-Computing)或計算社會科學(Computational Social Science) 等地理資訊科學相關領域研究

(一) 研究方向：
1. mRNA癌症疫苗的開發研究
2.發展癌症疫苗與細胞免疫治療
(二) 研究內容：
以產品開發為導向，有機會接受初階商業課程訓練，目標為未來臨床應用。

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.

Conduct methodological and collaborative research in causal inference, survival analyses and statistical genomics with applications in studies of cancer and chronic diseases.

【Research Topic】
The Cell Dynamics Laboratory is an interdisciplinary research team that utilizes quantitative biology approaches integrating concepts and methods from biology, mathematics, physics and engineering science to study general principles in biology that control cell death, cancer transformation and aging. We plan to establish a state-of-the-art genome-wide CRISPR genetic screening to understand 1. the spread of cell death and 2. the prevention of cancer transformation.

Research

The Institute of Physics, Academia Sinica in Taipei, Taiwan, invites applications for tenure-track faculty positions in the areas of particle and gravitational physics, physics of active and biological systems, and quantum materials physics. Areas of particular interest include, but are not limited to, granular and soft matter, cell biophysics, physics of biomolecules and polymers, statistical physics, and fluidic phenomena. The recruitment is generally targeted at the Assistant Research Fellow level, but candidates with exceptional qualifications will be considered at more senior ranks. As Academia Sinica is the most prominent research institution in Taiwan, our institute is committed to the pursuit of excellence in physics research. Faculty can enjoy doing research in a well-equipped environment, and have the chance to apply for various research projects funded by the government or Academia Sinica itself, for example NSTC 2030 Cross-Generation Young Scholar Program, Academia Sinica Career Development Award, Academia Sinica Early-Career Investigator Research Achievement Award, etc.

1. Assist the cooperative with statistical consulting and related services.
2. Responsible for data analysis tasks, including data preprocessing, database construction, data analysis, and report writing.
3. Participate in various activities organized by the Institute of Statistical Science and the cooperative.
4. Assist with administrative affairs of the cooperative.
5. Complete other tasks assigned as needed.

To conduct an innovative research program in computational (broadly-defined), materials, energy or other chemistry areas

1. 儀器設備預約系統管理及相關宣傳推廣業務
2. 組網頁管理 (中英文網頁)
3. 實驗室財產盤點及網路設備管理統籌
4. 協助處理學術行政相關業務
5. 主管交辦事項