We are actively looking to grow our team. While ideal candidates have a background in both computational and experimental techniques, no particular background is required and we can help develop you get the cross-training you seek. We are are building a supportive, hard-working, and diverse (in terms of personal backgrounds, scientific experience, and working styles) team to address difficult questions with implications for both basic science and medical practice.
We are seeking postdocs for both specific, well-designed projects and applicant-initiated projects. Available projects include, but are not limited to: (1) studying phage-bacterial interactions and evolution on human skin; (2) in-human interventional studies to understand colonization dynamics; (4) leveraging public metagenomic data to identify recent adaptations of commensals to humans; and (4) using machine learning to improve our mutation detection pipeline (for isogenic colonies) and turn our in-house pipeline into a widely used resource. Please indicate your research interests (does not need to be a specific project), attach a CV, and attach a manuscript (preprint is fine) when getting in touch.
We are open to hosting rotation students for students already enrolled at MIT, and we hope to add to our team this year (2020-21). Graduate students not currently enrolled in a PhD program should apply to one of the many relevant PhD programs at MIT, which include Computational and Systems Biology, Microbiology, and Health Sciences and Technology. We are also affiliated with Harvard’s Biophysics PhD program. Prospective students interested in MIT’s Civil and Environmental Engineering (Ecology and Evolution track) PhD program should contact me after submitting their application materials.
I do not interact with graduate students before the formal application process, out of a desire to impart more fairness to the system. In lieu of this, please accept these tips for applying to PhD programs: Recommendation letters and your personal statement are very important. For recommendation letters, pick the most credentialed individuals you know who can also speak in specifics about your accomplishments and potential. Start thinking about your personal statement early, and focus on what scientific concepts get you excited.