Academia Sinica Logo

The Center for Survey Research at the Research Center for Humanities and Social Sciences (RCHSS), Academia Sinica—Taiwan’s premier research institution—invites applications for a tenure-track position at the Assistant, Associate, or Full Research Fellow level (equivalent to Assistant, Associate, or Full Professors at universities).
We seek scholars conducting innovative empirical research on human behavior and social systems using advanced data and computational approaches. We are particularly interested in candidates whose work integrates artificial intelligence, machine learning, computational methods, or large-scale digital data with social science theory and empirical analysis.
The Center provides an interdisciplinary research environment bringing together scholars from sociology, political science, psychology, statistics, and data science. Our research emphasizes data-intensive social science, including the integration of survey data with digital trace data, text and network data, and other emerging data sources.
We welcome applications from scholars working on innovative empirical and computational approaches to the study of social systems. Areas of interest include, but are not limited to:
• Computational social science
• Artificial intelligence and machine learning in social research
• Large-scale empirical analysis using digital trace or behavioral data
• Text mining, natural language processing, and computational text analysis
• Network analysis and complex social systems
• Integration of survey data with digital, administrative, or other emerging data sources
• Methodological innovation in data-driven social science
Applicants from diverse disciplinary backgrounds in social sciences, statistics, computer science, data science, or related fields are encouraged to apply.

【工作內容 / Responsibilities】
本實驗室的研究重點為傳染病及癌症新藥研發，利用結構生物學的技術（X光結晶學，低溫電子顯微鏡）探討新冠肺炎、流感、抗藥性細菌感染以及癌細胞之膜蛋白及醣蛋白結構，作為新藥研發的基礎。
1、藉由分析蛋白質的立體空間結構，作為新藥設計的基礎。
2、運用細胞及動物實驗模型，探討新型藥物之廣度及效能。
My lab foucuses on structural biology and drug discovery in infectious diseases and cancers. X-ray crystallography and cryo-EM are being used to study membrane proteins and glycoproteins in SARS=COV-2, influenza viruses, drug-resistant bacteria and cancers, to provide structural basis for drug-discovery and vaccine design. In vitro cell based assays and in vivo animal models are being used to validate the efficacy of novel vaccines.

【Position Description】
Academia Sinica invites applications from interdisciplinary scholars with an international perspective and strong potential for academic leadership to join its research community as Assistant Research Fellow, Associate Research Fellow, or Research Fellow (equivalent to Assistant Professor, Associate Professor, or Professor at a university).
Applicants must demonstrate outstanding research achievements in behavioral science, institutional design, economics, or related fields. Candidates should be capable of integrating theoretical and empirical approaches and advancing innovative insights into public policy, market design, social institutions, organizational behavior, experimental economics, political economy, and data-driven decision-making.
This position particularly welcomes scholars who are able to bridge research methods and theoretical frameworks across behavioral science, economics, management, sociology, data science, law and economics, and related disciplines. Applicants are expected to actively contribute to the Center’s major research initiatives, including:
●Public Policy and Institutional Design
●Evidence-Based Governance and Sustainable Transition
●Innovation and Technological Development
We seek candidates whose research responds to contemporary societal and global governance challenges, and whose work contributes substantively to institutional optimization and policy innovation.

【Responsibilities and Benefits】
As Taiwan’s premier academic research institution, Academia Sinica provides generous research funding, travel support, research assistant positions, on-campus housing, and comprehensive benefits. The institution offers an international research environment with a high degree of academic freedom, actively encouraging cross-institute and interdisciplinary collaboration as well as international scholarly exchange.
Research fellows will be expected to:
1.Develop internationally influential research agendas and publish in leading international journals.
2.Lead or participate in interdisciplinary research teams, advancing the application of behavioral science and institutional design to public policy, economic governance, and social innovation.
3.Apply for and manage domestic and international research grants, and mentor postdoctoral researchers and research assistants.
4.Organize and host academic conferences, workshops, and international exchange activities.
Newly appointed research fellows are expected to build upon their existing research foundations to establish long-term research trajectories with strong development potential. They should foster dialogue between theoretical innovation and policy practice, and enhance Taiwan’s international visibility in the fields of behavioral and institutional research.

Research Focus:
Our laboratory focuses on neurodegenerative diseases, spinal muscular aging, and RNA biology. We investigate molecular mechanisms and regulatory networks underlying disease and aging processes by integrating multi-omics approaches. The lab maintains stable production of high-quality datasets to support long-term, biologically driven research programs.

Position Overview:
This is a research-oriented bioinformatics position responsible for extracting biologically meaningful insights from multi-omics datasets. The majority of the work involves customized analysis and biological interpretation, complemented by routine pipeline execution and workflow evaluation or optimization.
In recent years, our research program has increasingly emphasized single-cell multi-omics, spatial transcriptomics, and long-read sequencing to characterize cellular and molecular changes associated with aging and neurodegeneration.
Initial projects will be conducted in close collaboration with a senior bioinformatician, with the expectation of transitioning toward independent leadership of customized analyses within the first year.
This is a research-oriented bioinformatics position responsible for extracting biologically meaningful insights from multi-omics datasets. The majority of the work involves customized analysis and biological interpretation, complemented by routine pipeline execution and workflow evaluation or optimization.

Laboratory Strengths:
The laboratory provides stable access to high-quality multi-omics datasets and is led by a bioinformatician with over ten years of experience. Authorship is assigned based on actual contribution, and the lab maintains consistent publication output. Funding support is secured for at least five years, and the group sustains long-term domestic and international collaborations, offering a stable and growth-oriented research environment.

Area(s) of Specialization:
The Institute of History and Philology (IHP) invites applications for 1–2 tenure-track positions in Environmental Archaeology. We seek innovative scholars exploring the complex interactions between human societies and their environments. Applicants possessing methodological expertise in areas such as Archaeobotany, Zooarchaeology, Bioarchaeology, Geoarchaeology, Landscape Archaeology, or Paleoclimatology/Climate Change are highly encouraged to apply. This position emphasizes a holistic approach: the successful candidate is expected to integrate laboratory-based science with robust, primary fieldwork practices.
Preferences will be given to candidates with:
(1) Regional Expertise & Adaptability: A primary research focus on Taiwan, followed by Southeast Asia and Oceania. We also welcome exceptional methodological specialists who can demonstrate a robust framework for applying their expertise to these regional contexts.
(2) Field Proficiency: A proven track record of field investigation and excavation.
(3) Ethical Engagement: Demonstrated experience or a commitment to collaborative research with Indigenous peoples or descendant communities.
Rank:
Assistant Research Fellow (position roughly correspond to assistant professor at the university level in the United States)

We conduct research in diverse areas of computational biology, data science and machine learning, including multi-omics data integration of cancers, optimal treatment design for heterogeneous and evolving tumors, single-cell omics data analysis, evolution of biomolecular networks and human populations, topological characterization of networks, and unsupverised learning using deep neural networks. Group members will gain experience in learning domain knowledge, performing scientific reasoning, formulating and solving mathematical models, developing algorithms, writing programs and using existing packages, collecting and analyzing big data, and interacting closely with international and domestic collaborators. We look for motivated persons curious about open scientific problems and willing to dedicate energy and time to solve them.

【Position description】
The Institute of Statistical Science of Academia Sinica is seeking visionary scientists to join our interdisciplinary research community. Applications are invited for tenure-track appointments as Full/Associate/Assistant Research Fellows (equivalent to Full/Associate/Assistant Professors in Universities). This tenure-track faculty position expects candidates to have new insights into statistics, data sciences, and computer science-related fields, including artificial intelligence.

【Job description】
Academia Sinica, Taiwan's most preeminent academic research institution, offers generous research funding, travel support, faculty housing, and other benefits. The Institute of Statistical Science provides a secure and stimulating research environment, with more than 30 faculty members, supportive administrative and IT teams, and many international visiting scholars annually. Unlike the universities, our faculty members have the freedom to choose to teach or not to teach.

Dr. Cheng is a neurobiologist. New positions are open for Laboratory Assistants and Postdoctoral Fellows interested in using the mouse to study molecular and cellular mechanisms of axon guidance and adult neurogenesis.

Prospective candidate should have a strong interest in chromatin biology, gene regulation and/or functional genomics. We investigate how disease-associated mutations in chromatin regulators and histones disrupt gene regulation.

Website: https://www.imb.sinica.edu.tw/en/faculty/profile/hskwok.html, https://kwokchromatinlab.org

Our laboratory is currently seeking two postdoctoral researchers and additional research assistants with expertise in molecular and cell biology techniques. Responsibilities include the development of a high-throughput analysis platform to investigate protein degradation and biomolecular interactions. The ultimate goal of this research is the development of targeted protein degradation therapeutics. Interested candidates should submit their CV to hcyen@as.edu.tw.


About us: http://gps.imb.sinica.edu.tw/
About lab: https://www.imb.sinica.edu.tw/en/faculty/profile/hyen.html

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

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