Job Description :

• Responsible for the execution of civil and structural design involving the preparation of calculations and review of structural design drawings in accordance to customers' specifications, applicable codes, standards and other generally accepted practices.
• Assist in producing tender specifications and design requirements for calling of tender contracts.
• Undertake detailed design of buildings and civil infrastructures.
• Work with Qualified Person (QP) to develop design scheme for civil and structural works.
• Involve in project planning, implementation and close monitoring of projects.
• Project coordination including submission to local authorities and liaison during the construction stage.
• Liaise with clients, consultants and authorities on technical matters.

Requirements :

• Candidates must possess at least degree in Civil Engineering (preferably recognised by PE Board).
• Engineers with minimum 1 years' experience in relevant engineering design work. Conversant with latest design codes and authority requirements (Codes of practice, directives, etc.).
• With good attitude towards work and timeline.

The work at SUTD offers opportunity, an environment, a culture – and benefits – that just aren't found together anywhere else. If you're curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.

Research Fellow, Science, Mathematics and Technology Cluster – LBELL group, to work on cutting-edge brain-inspired computing research as a member of the group that includes Desmond Loke and Yu Jiang. There will be a possibility to work with external collaborators for the deployment of brain-inspired computing algorithms.

Job Scope

• The candidate will join an interdisciplinary and highly collaborative team of Scientists and Engineers.
• Responsible for enhancing the LBELL group's capability in brain-inspired computing development, and design of algorithms, overseeing model development and technology use, maintenance, and troubleshooting;
• Communicating results to the scientific community through publications and presentations; and
• Supervising undergraduate students and laboratory technicians.

Job requirements

Required: a Ph.D. in mathematics, computer science or a related field; prior experience with machine learning, programming is required; experience with software system; strong interpersonal and oral presentation skills; self-motivation; and attention to detail. Must be able to follow safety protocols and maintain a safe work environment, contribute as part of a multidisciplinary team, execute detailed technical procedures meticulously, and prioritise and perform multiple tasks in a dynamic work environment. Supervisory experience is preferred.

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.

Job Descriptions

1. Responsible for the audition, evaluation and selection process for all candidate applying for the performing artiste position.
2. Monitor the on-stage performance levels of all performing artistes on a weekly basis and feedback to the artiste for corrective measures (when necessary).
3. Good hosting skill, singing and dancing.
4. Strong leadership skill and excellent conflict resolution abilities.
5. Maintain discipline within the Artiste and other staffs.
6. In charge of schedule and selection of performing artiste for specfic event's performances.
7. Submit weekly performance schedule to operation manager.
8. Responsible for planning, preparing, setting up and performing shows.
9. Coordinate with the stage crews and oversee all rehearsals.
10. Responsible for the administrative matters of the Artiste including reportings to management.
11. Willing to work on evening, weekends and eve and public holidays.
12. To provide additional support as required by Management.
13. Keep track of overall performances of the performing artistes and overall on-stage performance.

Requirements

1. Min 2 years of relevant experience in the night establishment.
2. Maintain good relation with customers.
3. Ability to communicate well with staff or Artiste from East Asia.
4. Has experience as an Artiste.
5. Knowledge of Mandarin Pop is advantageous.
6. Strong stage experience.
7. Able to consistently meet target set by management.

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