An exciting opportunity for a postdoctoral fellow with a strong expertise in environmental biotechnology is now available in the Department of Civil and Environmental Engineering at the University of Alberta. The successful candidate will be working alongside Prof. Mohamed Gamal El-Din on multidisciplinary research projects that aim to gain a fundamental understanding of biological water treatment processes.
The postdoctoral fellow will conduct research in the area of natural and engineered biological processes for municipal and industrial wastewater (such as oil sands process water) in conjunction with other treatment processes, such as advanced oxidation and/or adsorption. The candidate is expected to address fundamental questions related to microbial physiology, biogeochemistry, bioinformatics, and environmental microbiology by conducting research using advanced microbiology and molecular biology tools, including (meta)genomics sequencing (e.g. amplicon, transcriptome), microscopy (e.g. FISH), and other fingerprinting approaches (e.g. qPCR). The postdoctoral fellow will also use toxicological and biotechnological tools to study the effectiveness of biological treatments. It is expected that the candidate will be able to disseminate the research results through journal publications and conference presentations. The candidate will also be expected to assist in training and mentoring graduate students, writing research proposals and assisting in writing research papers. Teaching experience can be arranged if desired.
The ideal candidate should meet the following qualifications: (i) a Ph.D. degree in environmental engineering, environmental microbiology, microbial ecology, or related areas with a solid background in wastewater treatment, biological treatment and molecular biological techniques; (ii) have completed the Ph.D. within the past five years (i.e., 2018 or later) with a minimum of three first-author papers, in which at least one paper published in a top journal; (iii) a strong track record of refereed journal publications; (iv) ability to work independently; (v) strong written and oral communication skills; and (vi) solid knowledge of advanced statistical approaches for analyzing complex molecular datasets is highly desirable.
The application should include a cover letter, a curriculum vitae, 1-2 reprints (s) of your most significant research contributions (max 15 pages), and the contact information of three references. Applications will be accepted and considered immediately. Interested candidates should send their applications to chelmeayala@ualberta.ca.
The review process will begin immediately and continue until the position is filled. We thank all applicants for their interest; however, only those selected for an interview will be contacted.
The University of Alberta hires based on merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities, and Aboriginal persons.