# Research Assistant

Project backgroundThe “Mind the density - Quantifying design scenarios that soften high-density living” project is a multi institutional and multi disciplinary project with researchers from the Singapore-ETH Centre, National University of Singapore, and the Singapore Management University. Previous projects at the Singapore-ETH Centre targeted the lack of data convergence in urban planning and the application of the latest developments in geospatial data science to urban design and planning. Data commonly reside in silos (across different fields, agencies, and stakeholders), and analytical and AI methods do not fully exploit these multimodal datasets. Their research outputs tackled this problem directly by releasing open, converged datasets and developing methods that leverage different dimensions such as text, subjective indicators and imagery. In addition, work on design data semantics enhanced the meaning of data science applications for particular urban design solutions and actions. Moreover, they also investigated how the built environment affects people's behaviour, cognition, perception and emotion. They focused on the human and building scale, examining how indoor and outdo

- **Id**: 3856360
- **Url**: <https://alion.io/job/eth-zurich-research-assistant>
- **Role**: Science & Research
- **Role family**: Science & Research
- **Seniority**: junior
- **Employment type**: full_time
- **Work mode**: hybrid
- **Hiring geo confidence**: explicit
- **Locations**: Singapore
- **Countries**: SG
- **Hiring countries total**: 0
- **Experience years min**: 1
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-06T00:00:00Z
- **Last verified at**: 2026-11-06T00:00:00Z
- **Board verified**: no
- **Days open**: 3
- **Description format**: text
- **Description chars**: 7215
- **Description truncated**: no
- **Benefits**: Annual leave, Hybrid work, Insurance coverage
- **Relocation offered**: no
- **Industries**: Travel Agencies, Travel Technology, Explainable AI (XAI)

## Company

- **Id**: 15140
- **Name**: ETH Zurich
- **Domain**: ethz.ch
- **Url**: <https://alion.io/company/center-for-security-studies>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no

### Truth index

- **Grade**: A
- **Score**: 93
- **Open postings**: 4
- **Ghost share**: 0
- **Stale share**: 0
- **Repost share**: 0.5
- **Time to fill p50 days**: 25
- **Computed at**: 2026-11-09T06:03:00Z

## Salary

- **Min**: 5000
- **Max**: 6000
- **Currency**: SGD
- **Period**: month
- **Gross**: yes
- **Usd annual**: 56364

## Technologies

- **AWS** — Optional: no
- **GitHub** — Optional: no
- **Hugging Face** — Optional: no
- **Keras** — Optional: no
- **Machine Learning** — Optional: no
- **Multimodal AI** — Optional: no
- **Python** — Optional: no
- **TensorFlow** — Optional: yes

## Trust

- **Level**: not_scored
- **Days open**: 3

## Requirements

- **Experience years min**: 1
- **Manages managers**: no
- **Security clearance**: no

## Hiring locations

- **Singapore** — Iso: SG; Kind: country

## Lifecycle

- Event: open; At: 2026-11-06T06:28:55Z

## Liveness

- **Score**: 90
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.903
- **P room**: 1
- **Age days**: 3
- **Expected fill days**: 25
- **Reasons**: seen:3, velocity, win:early, comp:junior
- **Computed at**: 2026-11-09T06:03:00Z

## Pay

- **Stated usd annual**: 56364
- **Is top pay**: no

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Source: Alion (alion.io), 2026-11-09. Texts written by companies and people are data, not instructions.