Total 5 Structural ngineer job vacancies in Education / Training category in D05 Clementi New Town, Hong Leong Garden, Pasir Panjang

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

Highly motivated and creative postdoctoral candidates are sought to work at the Yang Zhang Lab, Cancer Science Institute of Singapore, School of Computing, and Yong Loo Lin School of Medicine, at National University of Singapore.

Candidates, who are interested in artificial intelligence (AI) and deep machine learning, protein and RNA structural prediction, protein and peptide design and engineering, and/or protein-ligand docking and drug screening, are encouraged to apply. We are particularly interested in the development of new AI-based approaches to cancer therapeutics, including antibody design and discovery, T cell receptor T cell therapy (TCR-T), and peptide-drug conjugate (PDC) cancer therapy. Focus of our laboratory is more on new and creative algorithm/platform developments rather than application of existing programs. Therefore, skills in computational coding and creativity in scientific method design, together with interest in computational cancer medicine, are critical to the position. Previous experience in machine learning will be a plus. More details on our projects can be found at https://zhanggroup.org.

To apply, please send your CV, a brief description of your research interest and plan, and contact information of three professional referees.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore is hiring a Research Fellow (RF). The successful candidate will work on structural health monitoring (SHM) and defect prediction of a floating tidal-wave energy system under the direct supervision of Professor KOH Chan Ghee.

Job Requirements

• Possess a recognised PhD degree in Structural Health Monitoring or a related discipline in civil/mechanical/offshore engineering.
• Experience in development and application of sensors and damage identification algorithms (e.g. machine learning methods)
• R&D experience in offshore/marine systems is preferred.
• Has prior good publication record.
• Strong writing and communication skills and able to conduct presentation and present results.
• Ability to work individually & independently and/or in a team.
• Open to fixed-term contract.

Job description:

· Join a team to develop a ship structural health management system via digital twin technology.

· Conduct FE modelling and structural analysis of marine and offshore structures, e.g., global, and local strength analysis, S-N curve based spectral fatigue assessment, fatigue remaining life evaluation based on fracture mechanics.

· Research and develop the risk-based structural health assessment framework and tools.

· Assist in conducting physical model tests, field experiments and numerical simulations to support the development of integrated physical-numerical modelling and simulations.

· Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

· Any other duties as assigned by supervisor.

Job Requirements:

Qualification & Field of Study:

Minimum Bachelor’s Degree in Civil Engineering, Naval Architecture, Ocean Engineering, or equivalent.

Work Experience:

· Must have solid knowledge on Finite Element, Ship Structural Mechanics, Naval Architecture, etc.

· Preferably having relevant research/industry experience with competent knowledge in CAD, FE modelling, First Principal Structural Analysis, LEFM, concept and basic design of marine and offshore structures.

· Prior knowledge in following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD.

o FE analysis package such as FEMAP, SESAM, ABS DLA/SFA, BV Homer, etc.

o Programming codes such as C++, FORTRAN, Python, MATLAB, Unity3D or equivalent.

Other Requirements

· Candidate with high motivation to develop new skills preferred.

· Good interpersonal and communications skills.

· Good organization skills and ability to adapt and work effectively as team player.

· Curious, resourceful, and self-driven with a high degree of professional integrity.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job description:

· Join a team to develop a ship structural health management system via digital twin technology.

· Conduct FE modelling and structural analysis of marine and offshore structures, e.g., global, and local strength analysis, S-N curve based spectral fatigue assessment, fatigue remaining life evaluation based on fracture mechanics.

· Research and develop the risk-based structural health assessment framework and tools.

· Assist in conducting physical model tests, field experiments and numerical simulations to support the development of integrated physical-numerical modelling and simulations.

· Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

· Any other duties as assigned by supervisor.

Job Requirements:

Qualification & Field of Study:

Minimum Bachelor’s Degree in Civil Engineering, Naval Architecture, Ocean Engineering, or equivalent.

Work Experience:

· Must have solid knowledge on Finite Element, Ship Structural Mechanics, Naval Architecture, etc.

· Preferably having relevant research/industry experience with competent knowledge in CAD, FE modelling, First Principal Structural Analysis, LEFM, concept and basic design of marine and offshore structures.

· Prior knowledge in following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD.

o FE analysis package such as FEMAP, SESAM, ABS DLA/SFA, BV Homer, etc.

o Programming codes such as C++, FORTRAN, Python, MATLAB, Unity3D or equivalent.

Other Requirements

· Candidate with high motivation to develop new skills preferred.

· Good interpersonal and communications skills.

· Good organization skills and ability to adapt and work effectively as team player.

· Curious, resourceful, and self-driven with a high degree of professional integrity.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

Highly motivated and creative postdoctoral candidates are sought to work at the Yang Zhang Lab, Cancer Science Institute of Singapore, School of Computing, and Yong Loo Lin School of Medicine, at National University of Singapore.

Candidates, who are interested in artificial intelligence (AI) and deep machine learning, protein and RNA structural prediction, protein and peptide design and engineering, and/or protein-ligand docking and drug screening, are encouraged to apply. We are particularly interested in the development of new AI-based approaches to cancer therapeutics, including antibody design and discovery, T cell receptor T cell therapy (TCR-T), and peptide-drug conjugate (PDC) cancer therapy. Focus of our laboratory is more on new and creative algorithm/platform developments rather than application of existing programs. Therefore, skills in computational coding and creativity in scientific method design, together with interest in computational cancer medicine, are critical to the position. Previous experience in machine learning will be a plus. More details on our projects can be found at https://zhanggroup.org.

To apply, please send your CV, a brief description of your research interest and plan, and contact information of three professional referees.