Job Description

Essential Job Duties
We are recruiting a Postdoctoral Scholar to join an ARPA-E project focusing on reducing nitrous oxide emissions in corn by integrating ancestral genetics with advanced nitrogen management.

These positions focus on the intersection of germplasm screening and genomic characterization to identify and functionalize alleles derived from teosinte that inhibit microbial nitrogen cycling.
The scholars will lead efforts to mine a newly developed collection of hundreds of Near-Isogenic Lines (NILs) derived from teosinte accessions to identify loci responsible for Biological Nitrification Inhibition (BNI) and Biological Denitrification Inhibition (BDI).

Primary responsibilities include:
Quantitative Genetics & Mapping: Performing QTL mapping and fine-mapping of BNI/BDI traits to identify candidate regions and alleles across diverse teosinte taxa.
Genomic Characterization: Utilizing long-read genome assemblies to perform comparative genomics between teosinte introgression lines and modern maize, characterizing sequence variations that drive the target phenotypes.
Functional Multi-omics: Integrating RNAseq (transcriptomics) of root and rhizosphere tissues and root metabolomics data to identify causative genes and chemical mechanisms of N2O production.
High-Throughput (HT) Phenotyping: Help develop new methods to quantify N20 at large scale in greenhouse settings.
Fluorescent based assays of enzyme activity: Developing, scaling, and implementing fluorescence based assays for quantifying enzyme activity in soil extracts.

We are seeking candidates with expertise in quantitative/statistical genetics, bioinformatics, or comparative genomics. We are also highly interested in candidates with a molecular biology background who wish to apply transcriptomic and metabolomic methods to understand how ancestral sequence variation impacts nitrogen use efficiency (NUE+) and root-microbiome signaling. Alternatively, we will consider candidates with expertise in assaying soil enzyme activity using scalable fluorescent assays.

As a member of a multi-institutional team (NC State, University of Illinois, ORNL, and University of Arizona), the scholar will collaborate with experts in microbial ecology, crop physiology, and biogeochemical modeling. You will have the flexibility to define research trajectories within the scope of our goals to create a pipeline for “climate-smart” corn.

Professional development opportunities include mentoring students, writing manuscripts, and engaging with industry stakeholders for technology hand-off.

Please contact Joseph Gage ([email protected]) and Rubén Rellán Álvarez ([email protected]) with any inquiries. We encourage applications even if you are uncertain whether you meet every listed requirement.
Other Work/Responsibilities
Additional duties as required.
Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. As you consider this opportunity, we encourage you to review our Employee Value Propositionand learn more about what makes NC State the best place to learn and work for everyone.

What we offer:

Medical, Dental, Vision, Retirement and Leave
Faculty and Staff Assistance Program
Enhance your career with LEAD courses
Attend non-revenue generating sporting events for free.

Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.

Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Requirements and Preferences
Work Schedule Mon-Friday, 8am-5pm
Department Required Skills
PhD in quantitative, statistical, and/or molecular genetics; genomics; plant breeding; and/or bioinformatics; or similar/related field.
Experience in quantitative genetics, genomics, plant breeding, bioinformatics, statistical genetics, and/or molecular genetics.
Programming experience in R, Python, bash, or similar programming languages
Preferred Years Experience, Skills, Training, Education
Fundamental knowledge of statistics and experimental design/analysis
Experience with high-performance Linux computing environments
Experience designing and performing experiments in the greenhouse, growth chambers, or field
Experience designing and implementing fluorescence assays of enzymatic activity in biological systems