Postdoctoral Fellows

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Fast Crypto Lab (Bo-Yin Yang, Ruben Niederhagen, Tong Chou)

Date of Expiry: 2025-08-06 ~ 2025-12-31
Position: Full-Time Research Assistant or Postdoctoral Researcher
Responsibilities: 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
Requirements: Required skills/experience
1-2 years experience building high-quality, aesthetically pleasing mobile apps in Flutter, Kotlin/Java, and/or Swift
Enthusiasm about writing clean, well-designed, well-tested, and well-documented code
In-depth knowledge of networking (DNS, VPNs, routing, firewalls) and/or experience writing software that modifies low-level networking on mobile platforms.
Version Control: Proficiency with Git and collaborative development workflows.
for iOS: Experience successfully submitting apps to the App Store.
Enthusiasm for Free/libre/open source software
Other desired qualifications
Rust & FFI: Basic knowledge of Rust and/or experience integrating foreign language libraries (Rust, in our case) into mobile applications.
State Management: Expertise with state management solutions (e.g., Provider, Riverpod, BLoC for Flutter).
Have a strong grasp of UI/UX principles.
Salary: 1.Full-time Research Assistant: Monthly salary ranges from NTD 51,549 to 70,106 (based on the pay scale for master's-level IT personnel under the Information Services Office's operational budget). 2. Postdoctoral Researcher: Monthly salary ranges from NTD 64,711 to 99,317, negotiable (based on Academia Sinica’s pay scale for contract-based Ph.D.-level personnel). Salaries are negotiable based on qualifications and offer both competitiveness and flexibility. (Note: For exceptionally qualified candidates, salary may be applied for according to Academia Sinica's special project research compensation standards.) 3. Two days off per week, with labor and health insurance, year-end bonus, one free annual health check-up, and leave entitlements in accordance with the Labor Standards Act.
Application: Please email the following documents to Distinguished Research Fellow Prof. Bo-Yin Yang at byyang@iis.sinica.edu.tw:
• Chinese/English CV (including technical experience and project portfolio)
• Highest degree diploma
• A brief statement describing your interest in and qualifications for the position
• Related programming work or projects
Qualified applicants will be contacted for an interview.
Contact: Prof. Bo-Yin Yang
Email: byyang@iis.sinica.edu.tw
Telephone: 02-2788-3799 Ext.1731
Website: https://www.pqconnect.net

Computer Systems Laboratory - Machine Learning Systems Team

Date of Expiry: 2025-01-20 ~ 2025-12-31
Position: Postdoctoral Researcher * 2
Responsibilities: 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.
Requirements: - Ph.D. degree in Computer Science, Computer Engineering, or Electrical Engineering
- Experience in parallel computing and parallel programming (CUDA or OpenCL, C/C++ programming) or hardware design (Verilog or HLS)
- Proficient in system and software development

Candidates with the following experience will be given priority:
- Experience in deep learning platforms, including PyTorch, TensorFlow, TVM, etc.
- Experience in high-performance computing or embedded systems.
- Experience in algorithm designs.
- Knowledge of compilers or computer architecture
Salary: According to Academia Sinica standards: Postdoctoral Researchers: NT$70,000/month. Benefits include: labor and healthcare insurance, and year-end bonuses.
Application: Please email your CV (including publications, projects, and work experience), transcripts (undergraduate and above), and any other materials that may assist in the review process to the following PIs:
- Dr. Ding-Yong Hong: dyhong@iis.sinica.edu.tw
- Dr. Jan-Jan Wu: wuj@iis.sinica.edu.tw
Contact: Dr. Ding-Yong Hong
Email: dyhong@iis.sinica.edu.tw
Telephone: 02-27883799 ext. 1818
Website: 洪鼎詠網頁: http://www.iis.sinica.edu.tw/pages/dyhong/index_zh.html, 吳真貞網頁: http://www.iis.sinica.edu.tw/pages/wuj/index_zh.html

Institute of Information Science, Academia Sinica

Recruitment

Postdoctoral Fellows

Fast Crypto Lab (Bo-Yin Yang, Ruben Niederhagen, Tong Chou)

Computer Systems Laboratory - Machine Learning Systems Team