Researcher, Ecological Engineering — Data-Driven Bioprocessing

University of the Free State

Bloemfontein

On-site

ZAR 700,000 - 1,000,000

Full time

7 days ago
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Benefits offered by this job

Pension scheme
Medical aid
Group life insurance
Housing allowance
Leave and sick leave

Job summary

University of the Free State invites applications for a Researcher within the Ecological Engineering Institute of Africa (EEIA) on the Bloemfontein campus. The role focuses on biocomplexity pipelines for algae-based wastewater processing and bioremediation research, with teaching responsibilities in data-driven ecological engineering.

Requirements include a PhD in Microbiology/Biotechnology (NQF 10) or an equivalent Master’s at NQF 9 with doctoral progress. Strong publication record preferred.

Qualifications

  • PhD or Master’s with related field required for appointment.
  • Industrial experience in wastewater algae applications desired.
  • Experience with microbial/viral population analysis, DNA/RNA techniques, microbiome libraries, and SEM.

Responsibilities

  • Maintain and expand analytical biocomplexity pipeline for wastewater algae testbed.
  • Explore bioremediation strategies via concrete 3D biofilters.
  • Assist in obtaining research funding for EEIA.
  • Advise on postgraduate Ecological Engineering projects.
  • Teach Data-driven Ecological Engineering in PGDip program.
  • Publish regularly and present at conferences.

Skills

Results oriented
Strategic thinking
Business acumen
Leadership
Collaboration

Education

PhD in Microbiology and Biotechnology
Master’s degree in Microbiology and Biotechnology

Tools

MS Office

Job description

University of the Free State invites applications for a Researcher within the Ecological Engineering Institute of Africa (EEIA) on the Bloemfontein campus. The role focuses on biocomplexity pipelines for algae-based wastewater processing and bioremediation research, with teaching responsibilities in data-driven ecological engineering.

Requirements include a PhD in Microbiology/Biotechnology (NQF 10) or an equivalent Master’s at NQF 9 with doctoral progress. Strong publication record preferred.

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