Assistant Professor
2 months ago
Job Description
Qualification: Applicants must have an earned doctorate in microbiology, molecular biology, ecology or evolution, bioinformatics, plant and soil sciences, or a related field, and show evidence of excellence in research and teaching through scholarly activities.
Required Experience: Post-doctoral research experience or equivalent is preferable
**Salary**: Level 11; Salary between INR 80,000-1,00,000
Research and Outreach (70%)
- Develop a rigorous and nationally recognized research program in microbial ecology or evolution, using advanced ‘-omic’ approaches to characterize microbial populations or communities and their functions and interactions with other organisms and the environment.
- Lead the dialogue, research, and innovation in soil microbiology, microbial biogeochemistry, and microbial bioengineering.
- Set up a dedicated ‘omics’ lab; analyze soil microbiology using culture-independent studies, and interpret metagenomics data from the soil microbiome
- Develop partnerships with internal & external stakeholders to address challenges related to soil health through probiotics and bioremediation
- Develop protocol, procedures, and checklist for metagenomic DNA/RNA and Protein extraction and interpretation
- Work with other members of the Centre to design appropriate spatial and temporal sampling protocols and procedures for storing and transporting samples.
- Help design and conduct surveys and research to assess the major environmental and economic sustainability challenges facing small farmers in Maharashtra and Karnataka.
- Educate farmers, Centre members, SVU students, and other stakeholders on soil microbiology and agricultural probiotics
- Guide Ph.D. students
Teaching (30%)
- Mentor Ph.D. students in their coursework on the ‘Genomics and Proteomics’ paper.
- Develop and tutor short-term courses/certificate programs/workshops/summer schools on metagenomics.
- Develop a dedicated course/program on regenerative biosystems/Molecular Microbial Ecology
Key Skills
First-hand technical experience in sequence analysis, comparative genomics, genome assembly & annotation, statistics, probabilistic modeling, machine learning, or quantitative modeling of biological systems, developing tools and pipelines to analyze complex metagenomics datasets
Experience using tools for data analysis in Python or R
Must be comfortable working with diverse disciplines to explore the environmental and economic sustainability of small-scale farmers.
Must have the ability to work with large data sets and data visualizations to extract insights into microbial communities and their dynamics.
Must be comfortable in using, or willing to learn, mathematical modeling approaches and tools for data visualization and interpretation.
Must have an interest in and ability to work with Centre’s core team and member of SVU genomics and chemical biology & drug designing initiatives.
Must have the ability to communicate effectively in the major local languages (Kanada, Hindi, Marathi
- any two of them) in the regions of interest or work with translators to help you with this.
Must have the ability to think outside of their discipline.
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