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Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
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  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
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  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
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  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
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Jobs or company...

Research Fellow (Computer Science/ Engineering)

  • Full Time, onsite
  • NTU (Nanyang Technology University- Main Office-HR)
  • Singapore, Singapore
Salary undisclosed
Checking job availability...
Original
Simplified
Nanyang Technological University's National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize.

For more details, please view

We are looking for a Research Fellow to Digital Trust Centre. The role will focus on multi-modal model testing.

Key Responsibilities:
  • Conduct advanced research in Generative AI, focusing on the design, development, and optimization of multi-modal LLMs.
  • Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content.
  • Develop and refine machine learning and deep learning algorithms, including machine unlearning techniques, to enhance model robustness and reliability.
  • Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems.
  • Collaborate with interdisciplinary teams to align AI research with ethical standards and best practices in AI safety.
  • Publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research community.


Job Requirements:
  • PhD degree in computer science/ engineering or related field
  • Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation.
  • Background in Generative AI research, including multi-modal LLMs as well as background in AI Safety research, including AI authenticity, accountability, and integrity of digital content. Strong knowledge of machine learning and deep learning techniques, including machine unlearning, and AI testing.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
  • Strong analytical and problem-solving skills, with a focus on developing innovative solutions for multi-modal LLMs.
  • Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
  • Competent in collaborative skills, with experience working in cross-functional teams.
  • Interpersonal skill (e.g. Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment. Keen attention to detail and commitment to high-quality deliverables.


We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU