Ma Lab Openings

Graduate Students

We are looking for self-motivated PhD students who are interested in computational and statistical genomics.

Prospective Students

You are encouraged to apply to UCR and mention me as a potential advisor in your statement. However, since I am not on the admission committee, I can not advise on the admission process.

If you are interested in sending an email introduction, please briefly introduce your education background, research experiences, and include your CV as an attachment. I read all emails, but unfortunately I can not reply to everyone.

Continuing UCR Students

If you are interested in learning more about our research group and current projects, please email wenxiu DOT ma AT ucr DOT edu directly to make an appointment and send a copy of your CV and your transcripts.

We are particularly looking for self-motivated PhD students with the following qualifications:

  • good programming skills in Python, C/C++, Java, R, or Matlab

  • good communication skills

The following qualifications are not required, though highly desirable:

  • previous experience in statistical learning, machine learning, or data mining

  • previous experience in computational biology, bioinformatics, or biostatistics

  • a basic understanding of molecular cell biology and genomics

Postdoctoral Fellow - Computational and Statistical Genomics

We are seeking highly motivated individuals to join our Computational and Statistical Genomics Group at the University of California - Riverside.

The postdoctoral fellow will focus on developing computational and statistical methods for big data problems motivated from genomics and epigenomics. Possible research projects include modeling the 3D chromatin architecture using Hi-C data, integrating chromatin structure with ChIP-seq, RNA-seq and other functional genomics assays, and investigating the interplay between genome architecture and gene regulation. The postdoctoral fellow will have the opportunity to collaborate with a variety of research groups at the University of California, Riverside and elsewhere.

The initial appointment will be for one year, with the potential for annual extensions on mutual consent.

The position includes a generous benefits package. Starting date is flexible. Visa sponsorship is available for non-US candidates.

Required skills

An ideal candidate would have:

  • a recently completed PhD degree in closely related area (computer science, statistics, biostatistics, applied mathematics, computational biology, or bioinformatics)

  • strong training in quantitative modeling (machine learning, Bayesian inference, etc.) or computational genomics experiences (high-throughput sequencing data analysis, algorithm development, etc.)

  • proficiency in at least one programming language (Python, C/C++, Java, Matlab, or R)

  • a track record of publication in peer-reviewed journals

  • good spoken and written communication skills

About UCR

The University of California at Riverside, located in the Inland Empire region of Southern California, is close to Los Angeles and San Diego. The University of California is an Equal Opportunity/Affirmative Action Employer with a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law. Postdoctoral fellows at the University of California are represented by a labor union.

To Apply

Interested applicants should submit a CV, a brief research statement, and contact information of three references to Dr. Wenxiu Ma at wenxiu DOT ma AT ucr DOT edu. In your cover letter, please discuss why you are interested in this position.