PhD Candidate: Quality vs Quantity in Carbon Footprints

Chalmers Tekniska Högskola AB; Göteborgs kommun; On-site; SEK 364,000 - 493,000; Full time

Benefits offered by this job

Employee benefits

Gothenburg location

Job summary

Chalmers University of Technology in Gothenburg invites applications for a Doctoral student position focusing on rethinking carbon footprints and demand-side policy. You will join a collaborative project with KTH, Statistics Sweden, and Svalna, developing models that separate quantity and quality effects in emissions.

The role includes teaching up to 20% of time and opportunities to work across academia, national statistics, and industry.

Qualifications

• Master's degree in environment/economics or related field.
• Strong quantitative data analysis and computing skills (R/Python).
• Excellent written and spoken English.
• Ability to collaborate across organisations (KTH, Statistics Sweden, Svalna).
• Teaching experience is a plus.

Responsibilities

• Work on two connected research questions addressing quantity vs. quality in carbon footprints.
• Analyse prices vs emissions using transaction-level data and emission intensity variation.
• Evaluate policies focusing on quality over volume and public support.
• Contribute to the decomposition method and project analyses.
• Teach up to 20% of working hours and take advanced level courses.

Skills

Strong quantitative skills

Strong English

Independent work

Teaching potential

Education

Master's degree (120 credits)

Magisterexamen (60 credits)

Alternative: 4‑year Bachelor’s degree accepted

Tools

R

Python

Job description

Chalmers University of Technology in Gothenburg invites applications for a Doctoral student position focusing on rethinking carbon footprints and demand-side policy. You will join a collaborative project with KTH, Statistics Sweden, and Svalna, developing models that separate quantity and quality effects in emissions.

The role includes teaching up to 20% of time and opportunities to work across academia, national statistics, and industry.