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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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