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科研实习 | 新加坡科技研究局A*STAR招收CV/NLP研究实习生/AI科研实习生

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2024-08-23

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新加坡科技研究局

As one of the top-5 research institutes globally, A*STAR is at the forefront of scientific and technological discovery. Our Institute of High Performance Computing (IHPC) is dedicated to advancing the fields of AI through cutting-edge research and innovation. 


Position Overview: We are seeking several highly motivated and talented research interns to join our team focusing on robust AI systems. This includes exploring and developing solutions in computer vision and natural language processing. The candidate is expected to have a 1year+ internship in Singapore with a competitive allowance.


Robust Visual Systems坐标:新加坡

Key Responsibilities

1. Conduct innovative research in the field of robust visual systems.

2. Develop algorithms and models to enhance the robustness (adversarial or natural) and efficiency of vision systems.

3. Collaborate with a team of scientists and contribute to joint projects.

4. Publish findings in top-tier journals and leading conferences.

Qualifications

1. The internship period must be 1 year or longer.

2. Currently enrolled as a PhD candidate.

3. Strong background in computer vision, machine learning, and related fields. Experience of adversarial attack & defense, robustness, domain generalization, and efficient neural architectures will be a plus.

4. Demonstrated experience in research, preferably with publications in top-tier journals (e.g., TPAMI, IJCV, TIP, TNNLS, TCYB) or conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR).

5. Proficiency in programming languages and tools relevant to AI research (e.g., PyTorch, CUDA).

6. Excellent analytical, problem-solving, and communication skills.

Large Language Model-Based Systems坐标:新加坡

Key Responsibilities

1. Conduct innovative research in natural language processing.

2. Develop algorithms and models to enhance the robustness and efficiency of large language models.

3. Collaborate with a team of scientists and contribute to joint projects focusing on applying large language models on healthcare-related areas.

4. Publish findings in top-tier journals and leading conferences.

Qualifications

1. The internship period must be 1 year or longer.

2. Currently enrolled as a PhD candidate.

3. Strong background in computational linguistics, natural language processing, and related fields.

4. Demonstrated experience in research, preferably with publications in top-tier journals (e.g., TAACL) or conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR).

5. Strong Python and Pytorch skills, familiarity in distributed training.

6. Excellent analytical, problem-solving, and communication skills.

We could provide the following benefits

1. Opportunity to work in a world-renowned research institution.

2. Collaborate with a global network of leading scientists and industry experts (e.g., NUS, NTU, UTokyo, GE).

3. Access to state-of-the-art facilities and GPU resources.

4. Exposure to cutting-edge research and technology.

5. Competitive allowance in Singapore.

Application Process

Interested candidates are invited to submit a detailed CV (maximum 2 pages) which shows your relevant experience and research interests, and copies of relevant publications or manuscripts if applicable. Send an email to rai.ihpc@gmail.com with title: [IHPC Internship Application] [University] – Name.







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高校招生

清华大学机器学习与推理课题组北京大学网络信息处理实验室哥本哈根大学计算机系香港中文大学(深圳)孙启霖老师圣路易斯华盛顿大学王晨光老师北大光华管理学院彭一杰教授大湾区大学余梓彤老师纽约大学Pavel Izmailov老师圣路易斯华盛顿大学黄佳新老师南方科技大学魏鸿鑫老师佛罗里达大学方若谷教授香港城市大学赵翔宇老师北京大学孔桂兰老师新加坡科技设计大学段凌杰教授香港中文大学宋永健老师西蒙菲莎大学陈武阳老师宁波东方理工大学沈晓宇老师香港科技大学冯雁教授香港科技大学(广州)李昊昂老师鹏城实验室童倩倩老师悉尼大学Hesham El Gamal教授麦考瑞大学AIoT课题组加州大学河滨分校董悦老师西交利物浦大学颜宏盛副教授北京大学张文涛教授清华大学未来实验室人居组


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