Multipule Postdoc Positions in Data Science

 

A significant area of research focus within CMSE is on the synergy between algorithms for computational modeling and data science in physical, biological, and engineering applications. The majority of tenure stream faculty within CMSE are jointly held with other departments on campus.


Positions; While exceptional candidates from all areas of data science will be considered, Postdoctoral Researchers in CMSE are associated to a particular tenure stream faculty member. The following data science faculty members anticipate having openings in their respective labs:

  • Matthew Hirn [mhirn@msu.edu] (CEDAR Team): Research in applied and computational harmonic analysis as it relates to complex, high dimensional data analysis and machine learning (e.g., manifold learning, convolutional networks). Emphasis will be placed on synergistically developing these ideas along theoretical and applied directions. Application domains include many body physics and quantum chemistry; high throughput, high dimensional single cell data; and fluid mechanics, although other areas are possible depending on interest. Preferred start date no later than June 15, 2017, earlier if possible.

  • Arjun Krishnan [thekrishnanlab@gmail.com] (genomics and computational biology): We use statistics/ machine-learning to build data-driven models and predictions about the genetic basis of biomedical phenomena, esp. in an age-, sex-specific manner. Our research includes integrating large-scale genomic/biomedical datasets, inferring predictive gene signatures & network models, and developing frameworks for precision medicine. Using these approaches and insights, we want to transform our ability to link an individual's genomic/molecular profiles to her/his physiological traits, disease risks, and clinical outcomes. Qualification: strong programming skills in Python, R, and/or C++. Bonus: experience in data-science | machine-learning | statistics. Start date: no later than July 1, 2017. Get in touch: thekrishnanlab@gmail.com | @compbiologist | arjun-krishnan.net/join

  • Jose Perea [joperea@msu.edu]: Research at the intersection of algebraic/geometric topology, statistics and computational sciences; specifically, for the development of theoretical tools and applications pertaining to the analysis of complex data sets. Applicants with a strong background in topology/geometry and computation/statistics are especially encouraged to apply. Candidates with complementary knowledge in areas such as computational biology, dynamical systems or machine learning will be given priority. Preferred start date is June 1st, or August 1st at the latest.

  • Jianrong Wang [wang.jianrong03@gmail.com] : Interdisciplinary research in the fields of computational biology, machine learning and systems biology, with a focus on building probabilistic models to infer important signatures for functional genomics and gene regulatory networks by integrating heterogeneous high-throughput biological datasets. Specific emphases include: 1) inference of higher-order tissue-specific regulatory networks; 2) identification of underlying mechanisms of human diseases (e.g. cancer) based on systems-level models; 3) construction of three-dimensional chromatin structure and long-range regulatory interactions; and 4) methodology developments to facilitate efficient design and analysis of large-scale techniques. Prior experience in computational biology would be a plus. Candidates with strong programming skills ((Python | Perl | C | C++ | Java) & (R | Matlab)) are encouraged to apply. Preferred start date no later than July 1st, 2017.

  • Yuying Xie [xyy@stt.msu.edu]: Research in machine learning and statistical inference for high- dimensional and structured data analysis. Emphasis will be on developing statistical and computational methods for analysis of neuroimaging data and high throughput genomic and genetic data. The work will also involve collaboration with biological investigators in cancer research and neuroscience. Preferred start date no later than July 15th, 2017.


Qualifications; Applicants are required to have a Ph.D. in either Mathematics, Statistics, Computer Science or a related field. One should state clearly in the cover letter his/her first and, if applicable, second choice of faculty member with whom to work. Applications should include a cover letter, CV, research statement, and three letters of recommendation.


Salary; Salary will be competitive, and will be supplemented with funding for travel and equipment.


Term; The position is for two years, with renewal of the second year based on a performance evaluation and availability of funds. A third year is possible, subject to funding and satisfactory performance evaluations. No teaching is required for this position.


Applications received by February 1, 2017 will receive full consideration, but the search will continue until the positions are filled. General questions regarding the position may be sent to Prof. Matthew Hirn; specific research questions should be sent to the relevant faculty member listed above.

Michigan State University has been advancing knowledge for more than 160 years. A member of the Association of American Universities, MSU is a research-intensive institution with 17 degree-granting colleges. MSU is an affirmative action, equal opportunity employer and is committed to achieving excellence through cultural diversity. The University actively encourages applications and/or nominations of women, persons of color, veterans and persons with disabilities. Job applicants are considered for employment opportunities and employees are treated without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. The University actively encourages applications of women, persons of color, veterans, and persons with disabilities.