National University of Singapore tech stack
National University of Singapore builds mostly with Python, MATLAB, C++, JavaScript. Its stack also includes Power BI, PyTorch, Linux, TensorFlow. Python is named in 39 of the 109 job postings National University of Singapore published in the last 12 months (36%). Counted by Alion from the job postings of National University of Singapore, updated Nov 14, 2026.
What programming languages does National University of Singapore use?
Python is named in 36% of job postings at National University of Singapore, followed by MATLAB (15%), C++ (8%), JavaScript (6%).
SPSS 
Stata 
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What frameworks and libraries does National University of Singapore use?
PyTorch is named in 6% of job postings at National University of Singapore, followed by TensorFlow (3%), React.js (3%), MuJoCo (2%).
PyTorch
7 6%
TensorFlow
3 3%
React.js
3 3%
MuJoCo
2 2%
Scikit-learn
2 2%
ROS
2 2%
Ruby on Rails
2 2%
Flask
1 1%
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What databases does National University of Singapore use?
Amazon Aurora is named in 1% of job postings at National University of Singapore, followed by DynamoDB (1%), PostgreSQL (1%), SAP HANA (1%).
Amazon Aurora
1 1%
DynamoDB
1 1%
PostgreSQL
1 1%
SAP HANA
1 1%
Apache Doris
1 1%
Apache Iceberg
1 1%
ClickHouse
1 1%
DuckDB
1 1%
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What cloud and platforms does National University of Singapore use?
Power BI is named in 6% of job postings at National University of Singapore, followed by Linux (6%), GCP (3%), AWS (2%).
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What developer tools does National University of Singapore use?
Microsoft Excel is named in 6% of job postings at National University of Singapore, followed by Adobe Photoshop (5%), ANSYS (4%), Canva (4%).
Adobe Photoshop
5 5%
Canva
4 4%
Git
3 3%
WordPress
3 3%
Adobe Illustrator
2 2%
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What AI and ML technologies does National University of Singapore use?
LLM is named in 6% of job postings at National University of Singapore, followed by ChatGPT (1%).
Which engineering practices does National University of Singapore ask for?
Machine Learning is named in 18% of job postings at National University of Singapore, followed by Cell Culture (7%), CRISPR (5%), Multimodal AI (5%).
Multimodal AI
5 5%
RAG
4 4%
AI Agents
4 4%
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And 10 more, each named in fewer postings.
What does each National University of Singapore team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Science & Research
55 postingsAI/ML
7 postingsFinance
5 postingsHow does your stack fit National University of Singapore?
How much does National University of Singapore pay by technology?
Median stated pay of the postings that name each technology, against the median of all National University of Singapore postings with stated pay: $70k across 77 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 36 | $70k | 0% |
| MATLAB | 16 | $70k | 0% |
| C++ | 9 | $61k | −13% |
| PyTorch | 6 | $63k | −10% |
| Linux | 5 | $66k | −7% |
How is the National University of Singapore stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the National University of Singapore stack?
National University of Singapore scores 77 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.
How common is the National University of Singapore stack in its industry?
Share of the 1,485 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like National University of Singapore
Nanyang Technological University
97 shared technologies
Agency for Science, Technology and Research
91 shared technologies
Mayo Clinic
76 shared technologies
Genentech
68 shared technologies
Pennsylvania State University
83 shared technologies
Infineon Technologies
87 shared technologies
Merck Group
85 shared technologies
EMD Group
84 shared technologies
Questions about the National University of Singapore tech stack
What programming languages does National University of Singapore use?
The languages named in National University of Singapore job postings are Python (36%), MATLAB (15%), C++ (8%), JavaScript (6%), SPSS (3%), as a share of the 109 postings of the last 12 months.
Does National University of Singapore use PyTorch?
Yes. PyTorch is named in 7 of 109 job postings (6%) and required in 7 of them.
What cloud and platforms does National University of Singapore use?
The cloud and platforms named in National University of Singapore job postings are Power BI (7), Linux (6), GCP (3) (postings in brackets).
What skills do you need for a Science & Research job at National University of Singapore?
Science & Research postings at National University of Singapore most often require Python (22), C++ (6), MATLAB (6), PyTorch (4), out of 55 postings in the last 12 months.
Is the National University of Singapore tech stack changing?
Yes. Adobe Illustrator, FlowJo, Next-Generation Sequencing, Molecular Cloning first appeared in National University of Singapore job postings in the last six months.
How modern is the National University of Singapore tech stack?
National University of Singapore scores 77 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.
How does Alion know the National University of Singapore tech stack?
Alion reads every job posting National University of Singapore publishes and tags the technologies each one names. The figures on this page count the 109 postings of the last 12 months and were updated on Nov 14, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "National University of Singapore tech stack: 139 technologies from 109 job postings", as of Nov 14, 2026. https://alion.io/company/nus/technologies