Forwarded from Meenaa
Applications are now open for the Deep Learning Week 2027 Subcommittee !!
What is Deep Learning Week?
DLW is our flagship hackathon: an interdisciplinary challenge where participants across fields collaborate, build, and present bold new ideas. It's a space where creativity and critical thinking are tested in equal measure, and where academic excellence meets real-world impact.
Open Roles
We are currently recruiting for the following key positions:
📚 Academics — Design deep learning problem statements, draft solution outlines, mentor participants, and prepare resources.
⚙️ Operations — Manage logistics, booth operations, and ensure smooth execution throughout the event.
🤝🏽 Corporate Relations — Liaise with sponsor companies and help build long-term corporate partnerships.
📣 Marketing — Lead graphics, merchandise, video content, visual branding.
📋 Hon Gen - Manages internal administration, meeting coordination, internal and participant-facing communications, and tracking committee finances.
These roles form the backbone of DLW's success. Prior large-scale event experience isn't required but we are looking for commitment, clarity of thought, and the ability to work calmly under pressure.
Why Join?
- Work directly with sponsor companies through planning sessions, workshops, and curated networking opportunities.
- Strengthen your résumé with meaningful, high-impact work that demonstrates initiative and credibility in the tech and innovation space.
- Gain practical experience managing large-scale projects.
- Great talking points for interviews.
Join a close-knit team of driven peers who share your passion for building and problem-solving.
Build lasting connections with companies, mentors, and the wider community.
Applications close on 16 Aug 2026, 2359.
📖 Role Descriptions: https://docs.google.com/document/d/1az53FqDxS7Shebt5S_ofukj4Jwz6RlcCWdY2bbwryac/edit?tab=t.0
📝 Apply here:
DEEP LEARNING WEEK 2027 Recruitment | Deputy (Leads) and Subcommittee – Fill in form
Feel free to reach out to Jun Ze (@Jun_Ze) or Aishik (@Aishik_S) for any queries :)
What is Deep Learning Week?
DLW is our flagship hackathon: an interdisciplinary challenge where participants across fields collaborate, build, and present bold new ideas. It's a space where creativity and critical thinking are tested in equal measure, and where academic excellence meets real-world impact.
Open Roles
We are currently recruiting for the following key positions:
📚 Academics — Design deep learning problem statements, draft solution outlines, mentor participants, and prepare resources.
⚙️ Operations — Manage logistics, booth operations, and ensure smooth execution throughout the event.
🤝🏽 Corporate Relations — Liaise with sponsor companies and help build long-term corporate partnerships.
📣 Marketing — Lead graphics, merchandise, video content, visual branding.
📋 Hon Gen - Manages internal administration, meeting coordination, internal and participant-facing communications, and tracking committee finances.
These roles form the backbone of DLW's success. Prior large-scale event experience isn't required but we are looking for commitment, clarity of thought, and the ability to work calmly under pressure.
Why Join?
- Work directly with sponsor companies through planning sessions, workshops, and curated networking opportunities.
- Strengthen your résumé with meaningful, high-impact work that demonstrates initiative and credibility in the tech and innovation space.
- Gain practical experience managing large-scale projects.
- Great talking points for interviews.
Join a close-knit team of driven peers who share your passion for building and problem-solving.
Build lasting connections with companies, mentors, and the wider community.
Applications close on 16 Aug 2026, 2359.
📖 Role Descriptions: https://docs.google.com/document/d/1az53FqDxS7Shebt5S_ofukj4Jwz6RlcCWdY2bbwryac/edit?tab=t.0
📝 Apply here:
DEEP LEARNING WEEK 2027 Recruitment | Deputy (Leads) and Subcommittee – Fill in form
Feel free to reach out to Jun Ze (@Jun_Ze) or Aishik (@Aishik_S) for any queries :)
Interested in understanding Autonomous AI Agents? Register today for our Agentic AI Workshop—Building Autonomous AI Agents with Kiro & AWS: From Spec to Production!
This hands-on workshop aims to equip participants with the skills to design, build, and deploy autonomous AI agents using Kiro and AWS's agentic AI stack.
Participants will:
> Learn how to use Kiro to translate specs into functional agents
> Build multi-step agentic workflows with Amazon Bedrock
> Deploy agents that can reason, plan, and execute tasks autonomously
EVENT DETAILS
📅 Date: Friday, 21st August
⏰ Time: 2pm - 4:15pm
📍 Location: 2 Central Boulevard, East Tower, Level 5, S(018916)
Registration: Scan the QR code on the second slide! or click below
Agentic AI Workshop: AWS SG x IEEE YP SG x IEEE NUS Student Branch – Fill out form
Speaker Bio:
Vishesh Kumar serves as a Principal Architect within the AWS Professional Services team in Singapore, specializing in Application Development & Architecture, Infrastructure, and Security.
This hands-on workshop aims to equip participants with the skills to design, build, and deploy autonomous AI agents using Kiro and AWS's agentic AI stack.
Participants will:
> Learn how to use Kiro to translate specs into functional agents
> Build multi-step agentic workflows with Amazon Bedrock
> Deploy agents that can reason, plan, and execute tasks autonomously
EVENT DETAILS
📅 Date: Friday, 21st August
⏰ Time: 2pm - 4:15pm
📍 Location: 2 Central Boulevard, East Tower, Level 5, S(018916)
Registration: Scan the QR code on the second slide! or click below
Agentic AI Workshop: AWS SG x IEEE YP SG x IEEE NUS Student Branch – Fill out form
Speaker Bio:
Vishesh Kumar serves as a Principal Architect within the AWS Professional Services team in Singapore, specializing in Application Development & Architecture, Infrastructure, and Security.
❤2
🚀 MLDA@EEE Subcommittee Recruitment 2026/27 is open!
MLDA is NTU EEE’s premier AI and Data Analytics community, bringing together students, industry, and innovation.
We’re recruiting across:
📚 Academics
🛠️ Projects
⚙️ Operations
📈 Business Development
📢 Marketing
🤝 Community
No experience needed — just bring your curiosity and ambition.
🔗 Apply here: Sign Up Form
📕 Recruitment Handbook: https://canva.link/z3zo6oeed61hjg4
To stay updated on MLDA activities and future opportunities, follow [mlda_at_eee_ntu] on Instagram and join our Telegram [broadcast channel.]
MLDA is NTU EEE’s premier AI and Data Analytics community, bringing together students, industry, and innovation.
We’re recruiting across:
📚 Academics
🛠️ Projects
⚙️ Operations
📈 Business Development
📢 Marketing
🤝 Community
No experience needed — just bring your curiosity and ambition.
🔗 Apply here: Sign Up Form
📕 Recruitment Handbook: https://canva.link/z3zo6oeed61hjg4
To stay updated on MLDA activities and future opportunities, follow [mlda_at_eee_ntu] on Instagram and join our Telegram [broadcast channel.]
Forwarded from Kang Jun Ze
2 MORE DAYS TO END OF DLW Recruitment and we need YOU ‼️
Plan. Execute. Meet People. Make Memories.
Think you've got what it takes ?
JOIN THE DLW SUBCOMM 💪🏼
📖 Role Descriptions: https://docs.google.com/document/d/1az53FqDxS7Shebt5S_ofukj4Jwz6RlcCWdY2bbwryac/edit?tab=t.0
🔗 Apply here : https://forms.cloud.microsoft/r/AwLqySd08u
⏳ Application deadline : 24th Aug 2026
Your next side quest starts here 👾
Plan. Execute. Meet People. Make Memories.
Think you've got what it takes ?
JOIN THE DLW SUBCOMM 💪🏼
📖 Role Descriptions: https://docs.google.com/document/d/1az53FqDxS7Shebt5S_ofukj4Jwz6RlcCWdY2bbwryac/edit?tab=t.0
🔗 Apply here : https://forms.cloud.microsoft/r/AwLqySd08u
⏳ Application deadline : 24th Aug 2026
Your next side quest starts here 👾
Your feed already knows what you'll watch next.
Do you know how? 🎬
MLDA@EEE Learnova Workshop 1: Intro to Machine Learning
Two hours, and you go home having trained a working model. And knowing exactly how it works.
Got no experience? Don't worry! We build up to the coding part together, step by step.
What you'll actually get:
• A straight answer to what ML is, and where AI & deep learning sit around it
• A model you trained and tested yourself
• The same steps real ML work follows: load the data, split it, train, then check how wrong you were
The whole session is built around one task. You get the problem first, then pick up each concept when you need it to move forward. What the problem is, you'll find out on the night. 👀
📅 Thu, 10 Sep 2026
🕖 7:00 - 9:00 PM
📍 Venue: Seminar Room 1, Floor 1, Wee Cho Yaw Plaza (ABS-01-SR1)
Limited seats. Sign up now: [Link]
To stay updated on MLDA activities and future opportunities, follow [mlda_at_eee_ntu] on Instagram and join our Telegram [Broadcast Channel]
Do you know how? 🎬
MLDA@EEE Learnova Workshop 1: Intro to Machine Learning
Two hours, and you go home having trained a working model. And knowing exactly how it works.
Got no experience? Don't worry! We build up to the coding part together, step by step.
What you'll actually get:
• A straight answer to what ML is, and where AI & deep learning sit around it
• A model you trained and tested yourself
• The same steps real ML work follows: load the data, split it, train, then check how wrong you were
The whole session is built around one task. You get the problem first, then pick up each concept when you need it to move forward. What the problem is, you'll find out on the night. 👀
📅 Thu, 10 Sep 2026
🕖 7:00 - 9:00 PM
📍 Venue: Seminar Room 1, Floor 1, Wee Cho Yaw Plaza (ABS-01-SR1)
Limited seats. Sign up now: [Link]
To stay updated on MLDA activities and future opportunities, follow [mlda_at_eee_ntu] on Instagram and join our Telegram [Broadcast Channel]
Forwarded from Deep Learning Week | NTU
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🚨 THE SIGNAL IS LIVE 🚨
Think fast. Decode patterns. Turn insights into impact.
DATATHON 2026 is coming soon 🫡
Follow us on instagram and tiktok and stay tuned. ⚡️
#Datathon2026 #ComingSoon #NTU
Think fast. Decode patterns. Turn insights into impact.
DATATHON 2026 is coming soon 🫡
Follow us on instagram and tiktok and stay tuned. ⚡️
#Datathon2026 #ComingSoon #NTU
Don't know what to do with a large, messy dataset and where to start? Join us! 📊👀
MLDA@EEE Learnova Workshop 2: Exploratory Data Analysis
We will be equipping you with tools to explore data.
What you’ll gain from the workshop:
• An understanding of what EDA is and why it matters
• Hands-on practice with Pandas to clean, filter and slice data
• Visualise data using Seaborn and Plotly
• A guided mini-challenge where you’ll clean a dataset, spot outliers, calculate correlations and create visualisations
This session will get you to practice on a dataset, and we will guide you troubleshoot. You’ll explore, find patterns, and learn how those insights can influence what is next in machine learning workflow.
You don't have to know everything. Just show up! 📊
📅 Thu, 17 Sep 2026
🕖 7:00 - 9:00 PM
📍 Venue: Wee Cho Yaw Plaza
Limited seats. Sign up now: [Link]
To stay updated on MLDA activities and future opportunities, follow [mlda_at_eee_ntu] on Instagram and join our Telegram [Broadcast Channel]
MLDA@EEE Learnova Workshop 2: Exploratory Data Analysis
We will be equipping you with tools to explore data.
What you’ll gain from the workshop:
• An understanding of what EDA is and why it matters
• Hands-on practice with Pandas to clean, filter and slice data
• Visualise data using Seaborn and Plotly
• A guided mini-challenge where you’ll clean a dataset, spot outliers, calculate correlations and create visualisations
This session will get you to practice on a dataset, and we will guide you troubleshoot. You’ll explore, find patterns, and learn how those insights can influence what is next in machine learning workflow.
You don't have to know everything. Just show up! 📊
📅 Thu, 17 Sep 2026
🕖 7:00 - 9:00 PM
📍 Venue: Wee Cho Yaw Plaza
Limited seats. Sign up now: [Link]
To stay updated on MLDA activities and future opportunities, follow [mlda_at_eee_ntu] on Instagram and join our Telegram [Broadcast Channel]