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[交流] 新加坡南阳理工大学计算机方向ResearchFellow职位两个~机不可失~~

Center: SCRiPTS @ NTU

Job Title: Research Fellow

Job Description & Specifications:
SCRiPTS @ NTU is currently looking for a candidate to join them as a Research Fellow.

The successful applicant will be responsible for
• Develop machine learning, AI and optimization algorithms to address real-world problems given by the center.
• Engage industrial and governmental partners of the center to capture requirements, formulate research problems, and present findings.
• Test and evaluate the algorithms, identify their weaknesses and improve them.
• Guide junior researchers in the team.
• Prepare reports and scientific papers.

Job Requirements:
• PhD in Computer Science, or related areas
• Experience and excellent background in machine learning, AI and pattern recognition.
• Proficient with programming languages (e.g., Python, Matlab) and ability to build prototype systems at a pace.
• Familiar with classical machine learning algorithms and deep learning methods.
• Hands-on experience with Tensor Flow, Keras, MXnet, Caffe, Torch, or other deep learning frameworks.
• Excellent ability to communicate clearly, with the ability to work with a team of researchers and industry.
• Track records in publishing in top-ranked journals/conferences
Experience on distributed learning, ensemble learning and transfer learning is preferable.

Min. Years of Experience:
4 years including PhD study.

Application Procedure:
Interested applicants please send your full CV to adamskong@ieee.org with email title Research Fellow Application.

Center: Rolls-Royce@NTU Corporate Lab

Job Title: Research Fellow

Job Description & Specifications:
Rolls-Royce@NTU Corporate Lab is currently looking for a candidate to join them as a Research Fellow.

The successful applicant will be responsible for
• Develop machine learning, AI and optimization algorithms to address real-world problems given by Rolls-Royce.
• Engage Rolls-Royce stakeholders to capture requirements, formulate research problems, and present findings.
• Test and evaluate the algorithms, identify their weaknesses and improve them.
• Guide junior researchers in the team.
• Prepare reports and scientific papers.

Job Requirements:
• PhD in Computer Science, or related areas
• Experience and excellent background in machine learning, AI and pattern recognition.
• Proficient with programming languages (e.g., Python, Matlab) and ability to build prototype systems at a pace.
• Familiar with classical machine learning algorithms and deep learning methods.
• Hands-on experience with Tensor Flow, Keras, MXnet, Caffe, Torch, or other deep learning framework.
• Excellent ability to communicate clearly, with the ability to work with a team of researchers and industry.
• Track records in publishing in top-ranked journals/conferences
• Experience on optimization, time series and transfer learning is preferable
• Background in electric engineering would be a plus

Min. Years of Experience:
4 years including PhD study.

Application Procedure:
Interested applicants please send your full CV to adamskong@ieee.org with email title Research Fellow Application.

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