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Kerja Sepenuh Masa, Research Assistant di SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN Southeast (Singapore) - Maukerja
Research Assistant
SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Job Req ID: 2449
Employee Category: Research
Department: ISTD Pillar
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About the Job
We are seeking motivated Research Assistants to join our research group at the Singapore University of Technology and Design (SUTD). Our group focuses on multilingual and multicultural large language models, trustworthy AI, and multi-agent systems. Successful candidates will work alongside faculty and PhD students on research tasks that span model development, evaluation, and deployment, gaining hands-on experience in cutting-edge AI research.
What You'll Do
Support research projects in NLP and LLMs, including data collection, annotation, preprocessing, and analysis
Assist in implementing and evaluating models and benchmarks across multilingual and multicultural settings
Contribute to the development and maintenance of open-source tools and datasets (e.g., evaluation frameworks, multilingual corpora)
Collaborate with PhD students and faculty to execute experimental pipelines and reproduce baseline results
Assist in preparing research materials including literature reviews, experiment documentation, and draft sections of papers or reports
Who We're Looking For
Bachelor's or Master's degree in Computer Science, Computational Linguistics, Data Science, or a related field
Proficiency in Python and familiarity with at least one deep learning framework
Basic understanding of NLP concepts (e.g., language models, tokenization, fine-tuning)
Strong attention to detail, ability to follow experimental protocols, and willingness to learn independently
Application Materials
Please submit the following documents to the application portal:
A brief cover letter describing your research interests and relevant experience
Curriculum vitae or résumé including academic background and any prior research or project experience
(Optional) Code samples, GitHub profile, or links to prior projects
Employee Category: Research
Department: ISTD Pillar
.buttontextaba7e09b8c87ce09 a{ border: 1px solid transparent; } .buttontextaba7e09b8c87ce09 a: focus{ border: 1px dashed #990033 !important; outline: none !important; }
About the Job
We are seeking motivated Research Assistants to join our research group at the Singapore University of Technology and Design (SUTD). Our group focuses on multilingual and multicultural large language models, trustworthy AI, and multi-agent systems. Successful candidates will work alongside faculty and PhD students on research tasks that span model development, evaluation, and deployment, gaining hands-on experience in cutting-edge AI research.
What You'll Do
Support research projects in NLP and LLMs, including data collection, annotation, preprocessing, and analysis
Assist in implementing and evaluating models and benchmarks across multilingual and multicultural settings
Contribute to the development and maintenance of open-source tools and datasets (e.g., evaluation frameworks, multilingual corpora)
Collaborate with PhD students and faculty to execute experimental pipelines and reproduce baseline results
Assist in preparing research materials including literature reviews, experiment documentation, and draft sections of papers or reports
Who We're Looking For
Bachelor's or Master's degree in Computer Science, Computational Linguistics, Data Science, or a related field
Proficiency in Python and familiarity with at least one deep learning framework
Basic understanding of NLP concepts (e.g., language models, tokenization, fine-tuning)
Strong attention to detail, ability to follow experimental protocols, and willingness to learn independently
Application Materials
Please submit the following documents to the application portal:
A brief cover letter describing your research interests and relevant experience
Curriculum vitae or résumé including academic background and any prior research or project experience
(Optional) Code samples, GitHub profile, or links to prior projects
Peringatan Penting
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