We are seeking a motivated and enthusiastic PhD student who wishes to apply bioinformatic approaches to study evolutionary genomics and structural variation starting Fall 2022.

The position will make use of sequencing datasets to study the regulation and divergence of new genes across populations and species, including sticklebacks. The student will use short-read and long-read sequencing datasets and apply approaches in population and comparative genomics, transcriptomics, and epigenomics. This work will suit a highly motivated and curious student who has strong computational and analytical skills with a solid understanding of evolutionary processes. This 4-year funded position will be a blend of wet lab and computational work in a team setting with some educational outreach, so a desire to work collaboratively and take a leadership role to train mentees is essential. The student will be encouraged to develop and explore their own research questions using the available datasets. Experience with NGS approaches and/or bioinformatics is an asset but not required.

The lab (fredericchain.weebly.com) is in the Department of Biological Sciences at the University of Massachusetts Lowell. We are committed to justice, equity, diversity, and inclusion and we welcome applications from all backgrounds, in particular students from underrepresented groups in science. The University of Massachusetts Lowell has a diverse student population of 18,000 undergraduate and graduate students, serving a high proportion of first-generation college students (41%). The University has strong ties to the community of Lowell, a mid-sized city with a diverse population located 25 miles northwest of Boston and within two hours of mountains and coastline beaches. Information about the Department is available at https://www.uml.edu/Sciences/biology/.

To apply, please send a CV/resume and a cover letter that includes a statement of interest and relevant experience to frederic_chain[at]uml.edu. For further details or any questions, interested students are encouraged to send an informal e-mail.

Review of applications will start January 31st 2022 and continue until the position is filled.

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