Responsibilities:

• Manage public relations matter and reach out, engage, educate and liaise with property owners, occupiers and residents on all matters relating to the project
• Manage the team of PRO engaged by the contractors
• Develop, coordinate and supervise the public relation programme for the project

Requirement

• Diploma in Mass Communication or Public Relation
• At least 3 years of relevant experience as a Public Relation Officer in the construction industry
• Able to work independently and in a fast moving environment
• Contract role

- To answer occasional phone calls from public

- Station on Site to attend to feedbacks

- Attend monthly site meeting and prepare minutes of meeting

- Need to do site administration work:

Purchase orders, compilation of Delivery oders, Workers attendance and Work pass and safety course attendance

- Minimum 2 Years experience in public relations service or hospitalities and tourism field

- 5 Days work week

Site Office Location:

Ang Mo Kio

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 National University of Singapore invites applications for the position of Research Assistant / Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on Safeguarding the Web Against Phishing and Prompt Injection Attacks. He/she should possess experience or interest in at least one of the following research areas:

• Algorithms & Theory
• Artificial Intelligence
• Programming Languages & Software Engineering
• Cyber Security

Qualifications

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning;
• Solid programming and application development skills with experience in PyTorch / TensorFlow or an equivalent deep learning framework.
• Possesses sufficient background in AI/Machine learning to read and understand methodologies in research papers

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 National University of Singapore invites applications for the position of Research Assistant / Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on Safeguarding the Web Against Phishing and Prompt Injection Attacks. He/she should possess experience or interest in at least one of the following research areas:

• Algorithms & Theory
• Artificial Intelligence
• Programming Languages & Software Engineering
• Cyber Security

Qualifications

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning;
• Solid programming and application development skills with experience in PyTorch / TensorFlow or an equivalent deep learning framework.
• Possesses sufficient background in AI/Machine learning to read and understand methodologies in research papers