Postdoctoral Fellow, Ecology and Evolutionary Biology, The Tulane University Biodiversity Resea...

Tulane University
Belle Chasse, Louisiana

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Four-Year Institution
Postdoctoral Fellow, Ecology and Evolutionary Biology, The Tulane University Biodiversity Research Institute

Belle Chasse, Louisiana
Open Date:
Nov 16, 2021

The Tulane University Biodiversity Research Institute (TUBRI) is seeking a Postdoctoral Fellow to assist with research involved in a NSF Harnessing the Data Revolution Institute project entitled, Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning. Work on the project at Tulane involves building cyberinfrastructure for hosting images of fish specimens from institutional image repositories and the citizen science platform iNaturalist and using the images in Machine-Learning based studies of species identification, species classification, and morphological trait extraction, aided by a fish anatomy ontology and trees depicting phylogenetic relationships among fish species.


The successful candidate will actively participate in all aspects of the research in the project under the mentorship of Dr. Henry Bart and Dr. Yasin Bakış, including the following tasks:

  1. Assisting with the design of workflows for processing images of fish specimens gathered for use in the project, including verifying and cleaning taxonomic names associated with the images, capturing metadata about the quality of the images and their fitness for use in the project, and creating reports on statistics about the images for sharing with other project investigators;
  2. Assisting with the process of separating fish specimens from the images, creating outline and silhouettes of the specimens, extracting data on morphological features of the specimens to create “morphological barcodes” useful for diagnosing species depicted in the images;
  3. Assisting the PI’s with verifying the accuracy of project outputs;
  4. Contribute to and participate meetings, workshops, training, conferences;
  5. Keep up to date with the latest literature on research involving using images in biological research and extracting day from images and share the literature with other project investigators;
  6. Work collaboratively with Imageomics Machine-Learning experts to learn about deep-learning methods;
  7.  Prepare and give presentations on results of the research at conferences; 
  8. Assist project leaders with drafting scientific papers reporting results of the research for publication in scientific journals;
  9. Perform other duties as requested or required to support the work of the research project.
    The earliest start date is January 7, 2022, but this is flexible given the current pandemic and a remote “ghost-doc” start could be worked out. The position would be for one year (contingent upon annual review at year 1) with the possibility of further extension. The starting salary is $58,000+ full benefits.
    The Department of Ecology and Evolutionary Biology at Tulane is a diverse and welcoming community of scientists with excellent scholarship across a wide range of ecological and evolutionary topics. Tulane is a private, research one university and a member of the 63 prestigious Association of American Universities. Tulane is a collegial, collaborative, and stimulating environment for learning and research and is ranked among the top 40 universities by US News Report. New Orleans is a beautiful, vibrant, multicultural, and truly unique city in which to work and live.



PhD in one of these fields: Biological Sciences, Biodiversity Informatics, Computer Science, Information Science, Computational Biology/Bioinformatics, Informatics, Ecoinformatics, Applied Mathematics or a related field.

Experience in at least one of the following fields: Image Processing, Artificial Intelligence, Genetic Algorithms, Biodiversity Informatics, Computational Biology, Bioinformatics, Biomedical Informatics, Ecoinformatics or a related field (science publications).

Working knowledge of at least three of the following languages (each from a separate group): {Java, C, C++, C#}; {Python, PHP, Perl}; {R, Bash, JavaScript}; {ORACLE, SQL, MSSQL, PostgreSQL, MySQL}.


Working knowledge of Unix based operating systems.


Experience in writing grant proposals and scientific publications.


Strong communication, interpersonal, and problem-solving skills



Experience in: Image Processing; Artificial Intelligence/Neural Networks, Genetic Algorithms, Pattern recognition, Shape Outline/Signal Processing, Web-database applications, Morphometrics and Clustering/Classification algorithms.


Experience in fish taxonomy and morphology.


Experience in parallel computing (GPU).


Working knowledge of version control system (GIT).


Three (3) years of coding experience.


Application Instructions:

To Apply Submit:

  • One page Cover Letter
  • C.V.
  • A relevant publication or manuscript in preparation
  • Contact information for at least two (2) References


Applications will be considered until the position is filled.


Informal inquiries about the position are encouraged:

Equal Employment Opportunity Statement:

Please Note: Tulane University has officially adopted a mandatory COVID-19 vaccination policy. All employees and visiting faculty must be fully vaccinated with a COVID-19 vaccination or obtain approval for a medical or religious exemption prior to beginning employment.

Tulane University is located in New Orleans - a city with tremendous history of diverse cultures, community, and languages. Tulane is actively building a campus culture grounded in our values of EDI and anti-racism. We seek and welcome candidate applications from historically underrepresented groups, such as BIPOC (Black, Indigenous, People of Color), women, LGBTQ+, and those living with disabilities as well as veterans. 

Tulane University is an Equal Employment Opportunity/Affirmative Action institution committed to excellence through diversity. Tulane University will not discriminate based upon race, ethnicity, color, sex, religion, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, marital status, military or veteran status, or any other status or classification protected by federal, state, or local law. All eligible candidates are encouraged to apply.

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