Postdoctoral researcher The border.lab is looking for a postdoctoral researcher to work with Dr. Richard Border on developing efficient algorithms for robust analysis of massive genotype data. The researcher will have the option to select their project(s) or propose new research directions. Dr. Border will additionally support the researcher in applying for a Lane Fellowship.

Qualifications:

• Record of leading successful research projects that result in high impact publications, preprints, or conference presentations.
• Background in algorithm design, statistics, machine learning, or applied mathematics.
• Strong skills in scientific / statistical programming (e.g. R, Python, or C++).

Application: Please contact Dr. Border directly at rborder@cs.cmu.edu with subject line “border.lab postdoc: <your name>”. Be sure to include your CV and a few sentences about your research interests.

Graduate students: We are seeking multiple PhD students. Students will work with Dr. Richard Border on developing efficient algorithms for robust analysis of massive genotype data. Students will have the opportunities to select their project(s) or propose new research directions.

Qualifications:

• Admitted to a CMU Ph.D. program.
• Background in algorithm design, statistics, machine learning, or applied mathematics.
• Strong skills in scientific / statistical programming (e.g. R, Python, or C++).

Application: Please contact Dr. Border directly at rborder@cs.cmu.edu with subject line “border.lab graduate student: <your name>”. Be sure to include your CV and a few sentences about your research interests.

Note: I’m generally unable to reply to emails from prospective graduate students. If you’re interested in working with me, I recommend applying to the CMU-Pitt PhD Program in Computational Biology.

Undergraduate and Master’s Students: We have multiple opportunities for undergraduates and master’s students to get involved. Students will work with Dr. Richard Border on developing efficient algorithms for robust analysis of massive genotype data. Students will have the opportunities to select their project(s) or propose new research directions.

Qualifications:

• Background in algorithm design, statistics, machine learning, or applied mathematics.
• Strong skills in scientific / statistical programming (e.g. R, Python, or C++).

Application: Please contact Dr. Border directly at rborder@cs.cmu.edu with subject line “border.lab research: <your name>”. Be sure to include your CV, transcript, and a few sentences about your research interests.