Total 355 Education / Training job vacancies in ITE-CE (College East)

SUTD invites applications for a Research Fellow position in a research project to develop intelligent, secure, and resilient future communications systems. In particular, to support a diverse set of use cases with ever-increasing requirements, the architectural design of 5G and future 6G systems emphasizes software-defined reconfigurability and AI-enabled intelligent operations. Open RAN --- as a generic term used by the community for an open radio access network architecture --- is viewed as a promising way to achieve this design objective. While open RAN promotes interoperable interfaces, RAN virtualization, and support for big data and AI-enabled RAN, its success requires us to overcome multiple challenges --- in particular, how to build intelligence and adaptability into such a system while still providing high assurance regarding its security and resilience. Our project aims to lay a solid foundation for designing secure and resilient open RAN systems.

The application should contain a complete resume, a cover letter describing the applicant's background (a PhD in Computer Science, Computer Engineering, Telecommunications, or related disciplines, is required), past research experience and technical skillset, and contact information of up to three references.

A research fellow or postdoctoral researcher is needed in NRF ANR project to work on the new nanostructured materials for energy storage materials. The project is to understand the catalytic effect based nanomaterials ad their applications in the anode materials of lithium ion batteries.

We request to hire a PhD degree holder in the research field of material science and chemical engineering. The researcher is requested to work with the team on the preparation of the materials and evaluation of the prototype performance in the field.

He/she will design materials and devices. He will be in charge of materials synthesis, characterization and final prototype evaluation. Required skills include multiple fabrication and characterization tools in material science including various deposition techniques, SEM, XRD, Raman, electrochemical evaluation systems. Desired skills include research experience in energy storage, electrode design, and ion intercalation process.

Hi we are looking for part time teaching assistant to join us on tues and thursday

Minimuk 6 month commitment required

Long term.preferred

Work timings

Tues 4-8.30

Thurs 4-8.30

Sat 10-1 pm (option avilable if you can)

Salary $7-9 per hr plus cpf

Must be patient n willing to work with kids, Math marking job, basic knowledge in Math is a plus

Spoken mandarin is a plus

Interested pls send us your details. Name,area of residence, experience, current occupation and commitment period to [email protected]

Kumon Fengshan Cc, Bedok North st 2

Our team at the Singapore University of Technology and Design (SUTD) is looking at generative AI models for music. You will be joining our Audio, Music, and AI (AMAAI) Lab supervised by Prof. Dorien Herremans. At our lab, we aim to advance the state-of-the-art in AI for music and audio. You will be working on advancing the Mustango text-to-music model.

Ideal skillset:

• Strong knowledge of deep neural networks in PyTorch
• Interest in machine learning for audio
• Experience in NLP and computer vision
• Experience in Music Information Retrieval, ideally AI music generation and or audio transcription
• Interest or experience in music generation systems or audio classification systems
• Savvy programmer in PyTorch
• Creative problem solver with good academic writing skills

An ideal candidate should have a strong background in machine learning, familiarity in NLP and audio computing, PhD in Computer Science and related areas, and willing to work with PhD students in the lab to leverage individual efforts into a combined system.

Job Summary: We are in search of a highly motivated and accomplished Senior Research Assistant or Research Associate to join our team and contribute to our ongoing research project "Towards Realistic Deep Learning for 3D Vision". The successful candidate will collaborate closely with our research team, working on the development of ground-breaking algorithms and methodologies for 3D deep learning from heterogeneous data sources such as language and 3D data. This role offers an exciting opportunity to engage in cutting-edge research and have a substantial influence on the field.

Responsibilities:

• Undertake research in the field of realistic 3D deep learning, with a primary focus on pioneering algorithms and methodologies with language-guided 3D scene understanding.
• Design and execute experiments to validate the proposed approaches.
• Analyze and interpret data sourced from heterogeneous inputs.
• Stay up-to-date with the latest advancements in language-guided 3D scene understanding and related fields, and integrate new findings into research projects.
• Prepare research papers for publication in prestigious conferences.

Qualifications:

• A Master degree in computer science, Electrical Engineering, or a related discipline, with a specialization on computer vision, image processing, or 3D reconstruction.
• A strong background in computer vision, machine learning, and 3D geometry.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as Pytorch, OpenCV, or PCL.
• A solid grasp of mathematical concepts related to 3D computer vision, including geometry, optimization, and statistical methods.
• Good problem-solving and analytical abilities.
• Strong communication skills