Join The Lab
If you want to join the Ensminger lab in the Department of Biology at the University of Toronto, check this page out.
I am a Plant Physiologist. People in my lab study plant-environment-interactions. We use different approaches, ranging from experiments in climate controlled growth chambers, greenhouses, experimental plots in the field or natural field sites. We use biophysical methods to assess performance of plants, molecular biology techniques and we use next generation sequencing approaches mainly to study transcriptome dynamics in non-model plant species. I am always looking for students who are passionate about the physiology of plants and the mechanisms by which plants adjust function to changing environmental conditions.
NEW POSITIONS immediately open in the FastPheno project (September 2021):
We are hiring
5 grad students
Read below for more details
Send your full application package (1 PDF) to email@example.com
Application deadline is September 17, 2021.
If you are interested to apply to the NSERC Postdoctoral Fellowship program or the European Marie-Curie programme (If you are from the EC you can apply for postdoctoral fellowships abroad!) you are welcome to contact Ingo Ensminger. We are looking for people with new perspectives and skills to join our lab for working on the physiology of plants, global change and photosynthesis. You are the right peson if you have a strong background, interest and passion in the areas of molecular physiology of plants, biochemistry of plants, photosynthesis, boreal forests and trees, global change or bioinformatics.
Contact me at any time if you have questions about graduate studies. You should share our interest in the physiology of plants, global change and photosynthesis. Ideally you have some undergraduate research experience in plant physiology. NSERC has a program in place that helps Canadian students getting supplement support from the University of Toronto. See NSERC Graduate Fellowship Programs for more information. If you are a candidate from the US, you might want to check-out the NSF graduate research fellowship program. It covers 3 years of studies in Canada the Fulbright Canada Stem program which covers 1 year. Make sure you check the deadlines early.
Undergraduate students have a range of options to get involved in my lab and our projects. If you see your future in plant sciences, you should consider Bio481 offered by the Department of Biology. Project are usually done during the fall/winter term. For summer students, NSERC offers the NSERC Undergraduate Student Research Awards program and UTM offers the Reseach Opportunity Program (ROP). We also have students involved in our lab through the Work-Study program.
4 Postdoc and 5 Phd/MSc positions studying structure and function of trees and using drone-based remote sensing
The FastPheno project is soliciting applications for several postdoctoral and fully funded grad student positions. The project aims to develop and use the next generation high-throughput drone-based phenotyping platform and observe forest dynamics, identify trees resilient to climate change impacts and to ensure future forest health and productivity. The positions are part of a large project with researchers from the University of Toronto, Université Laval, Natural Resources Canada and the Ministère des Forêts, de la Faune et des Parcs du Québec.
We are looking to hire postdocs and grad students with complimentary skills and interests in remote sensing, plant biology, tree genetics and genomics, data sciences, forest ecophysiology, bioinformatics, and statistical modeling. Successful applicants will work closely in a collaborative environment in an interdisciplinary team of researchers of the four participating organizations.
I. Postdocs (two positions) remote sensing of vegetation and ecophysiology
The postdoctoral fellows will take leads in the FastPheno project activities on drone-based collection and processing of hyperspectral and LiDAR data from multiple experimental field sites and forest stands located in Quebec and Southern Ontario.
PROFILE – Candidates must hold a PhD in remote sensing, plant biology, forestry, or a related field. Strong background in photosynthesis, ecophysiology, leaf traits, remote sensing and big data analysis and experience with machine learning algorithms is required. Experience with retrieval of plant physiological and structural information using hyperspectral or LiDAR information is an advantage.
II. Postdoc (one position) statistical modelling and integration of adaptive traits for genomic selection
The postdoctoral fellow will take leads in the FastPheno project activities on developing and validating the relationship between adaptive traits and drone derived data and refine prediction models of phenology from phenotype trait data.
PROFILE – Candidates must hold a PhD in bioinformatics, biostatistics, or a related field. Strong background in advanced bioinformatics, statistical genomics, and model-data integration is required. Experience with plant biology, molecular ecology, genomic selection models and machine learning algorithms is an advantage.
III. Postdoc (one position) integration and visualization of genotype and adaptive trait phenotype data
The postdoctoral fellow will take the leads in the FastPheno project activities aiming to implement a new data browser and visualization tool which integrates genomic resources and drone derived phenotype data.
PROFILE – Candidates must hold a PhD in bioinformatics, environmental informatics, computer science or a related field. Strong background in plant biology, database design, data visualization and experience with scripting languages (e.g., Python, Rcran tools, Matlab) is required.
All postdoctoral candidates must have received their PhD after January 2018. Candidates must have strong verbal and written communication skills, willingness to work independently and in a collaborative team environment, and proven capability to publish in peer-review journals.
IV. Grad students (five positions) forest dynamics – growth, canopy structure and ecophysiology
The PhD students will investigate climate adaptation in trees and focus on specific leaf traits. This includes e.g., leaf optical properties, chlorophyll-a fluorescence, and photosynthetic pigments, which will be upscaled to the canopy scale by coupling with drone-derived hyperspectral and LiDAR data. Integration of these data will eventually allow to derive tree level structure and physiology from remote sensing.
PROFILE – PhD candidates must hold an undergraduate or master’s degree in plant biology, forestry, or a related field. Experience in one or more of the following areas: Plant physiology, ecophysiology, plant molecular biology, ecology. Experience or an interest in learning programming languages such as Python, Rcran tools or Matlab for the analysis of large data sets is an advantage.
HOW TO APPLY TO THE ABOVE POSITIONS
Potential applicants should send their CV, a list with the names and contact information of 2-3 references and a max. one 1 page cover letter in a single PDF file to firstname.lastname@example.org. Use the words FastPheno Application in the subject line of your email followed by the number (I. to IV.) of the position you are applying for. The deadline for submitting your application is September 17, 2021
For questions on individual positions or the overall project please email email@example.com.
For questions and further information about the co-investigators and their research use the following email addresses and visit their websites: