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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新加坡科技研究局
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.
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 [email protected] with title: [IHPC Internship Application] [University] – Name.
实习内推
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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
AI 求职是「PaperWeekly」旗下聚焦人工智能领域的招聘平台,涵盖高校硕博招生、博士后招募、企业校招、社招、实习和内推等。
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