LCA, TEA, battery technologies

Job Type
Graduate
Job Rank
PhD student
Job Institution
Dalhousie University (Nova Scotia) / Ecole de technologie superieure (Quebec)
Job Description

Dr. Kermanshahi (Dalhousie University) and Dr. Henderson (École de technologie supérieure, Université du Québec) are looking for PhD students with interests in Life Cycle Assessment (LCA) and Technoeconomic Analysis (TEA) to conduct PhD at Dalhousie University. The goal is to conduct multi-objective environmental sustainability analysis of sodium-ion (Na-ion) battery technology. The research will involve LCA and TEA of different sodium ion battery manufacturing pathways to identify the “process hotspots” and “economic bottlenecks” as well as economic and environmental implication of recycling, taking a cradle-to-grave and cradle-to-cradle perspectives.

The research work includes the following activities:

  • Data analysis
  • Process modeling
  • Submission of high-quality weekly reports
  • Drafting proposals and manuscripts

Qualifications

  • MSc degree in Chemical Engineering, Environmental Engineering or related areas

Desired Skills

  • Critical analysis and working with a multidisciplinary team
  • Proficiency with Aspen, OpenLCA / SimaPro, coding, and/or MS Office software tools
  • To be able to work independently and as part of a team
  • Communication skills and the ability to present the results to diverse audiences

Interested applicants are encouraged to send the following materials (as a single pdf) to Dr. Azadeh Kermanshahi, azadeh.kermanshahipour@dal.ca and Dr. Andrew Henderson, andrew.henderson@etsmtl.ca 

  • Statement of motivation
  • Curriculum Vitae
  • Proposal (maximum two pages)

To learn more about our research at Biorefining and Remediation Laboratory and the ÉTS Sustainability Impact Group, please refer to the brochures linked here: https://www.linkedin.com/posts/azadeh-kermanshahi-pour-phd-p-eng-01b3453_phd-student-positions-activity-7324076675472764928-JH3G?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACzoRYBm0eg8_P1_Joz7OBEWd7mUOCq-Bs