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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

Two postdocs needed in two distinct fields:
a) Biogeochemical cycles of greenhouse gases, with emphasis on water, CO2, and/or N2O in the atmosphere
b) Environmental particulate matter pollution, with emphasis on the formation mechanism of nitrates

1.研究助理：協助研究或獨立研究。
Research Assistants: Assist in research-related tasks or work on an independent project.
2.博士後研究員：表觀遺傳與轉錄調控於發育及疾病之角色。
Postdoctoral Fellows: Conduct research on the roles of epigenetics and transcriptional regulation in development and diseases.

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

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.

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.

[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/

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.

• 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.

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

【About Wong’s Lab】
Our lab studies human stem cells to explore the link between cell proliferation and differentiation. We focus on epigenetic mechanisms regulating progenitor cell growth, aiming to create high-quality cells for precision regenerative medicine. Join us to work with passionate researchers in stem cell and developmental biology, leveraging cutting-edge technology and resources at the institute and Academia Sinica.

【About the Positions】
- Develop individual research projects with guidance; support related research tasks.
- Engage in experimental design, analyze data, and provide regular updates on progress.
- Supervise daily laboratory activities, ensuring a productive and well-organized work environment.

【About Sakamoto Lab】
What is Life? How do lifeless molecules come together to create dynamic and purposeful living things? The “Laboratory of Designer Life” explores this fundamental question from physics viewpoints by combining experiments and theory. We take a bottom-up approach: instead of studying living cells as they are, we re-build key aspects of life in the lab, piece by piece, using building blocks of life. Our goal is to reveal the core principles underlying the beautiful self-organization of life. We seek people who are motivated to work on:

1. Developing experiments integrating cutting-edge microfabrication, microfluidics, and purified biomolecular systems to reveal novel self-organization phenomena
2. Experimental measurements using microscopes with photo-manipulation systems, energy conversion measurements, and quantitative image & data analysis
3. Theoretical analysis/modeling/simulation using soft matter physics, active matter physics, active gel theory, active nematics

【Research Focus】
Potential areas of exploration include but are not limited to:

1. Biomolecular Self-Organization: Explore to understand how nm-scale biomolecules spontaneously assemble into µm-to-mm-scale larger functional structures without any blueprint by developing innovative bottom-up systems
2. Engineering Life: Designing and building life-like systems that not only mimic but could potentially outperform natural cells, which will open up exciting opportunities in biotechnology and sustainable material development

Please visit our website for more details: https://sites.google.com/as.edu.tw/sakamoto-lab

【What We Offer】
1. Innovative Environment: Work at the forefront of biophysics, active matter physics, bioengineering, and synthetic biology
2. Skill Development: Gain hands-on experience in advanced microfabrication and in vitro protein experimental techniques, scientific writing and presentation skills
3. Collaborative Culture: Join the team that is motivated to develop and share knowledge for mutual growth