To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.
If you require any auxiliary aids, services, or other accommodations to apply for employment, or for an interview, at Michigan Technological University, please notify the Human Resources office at 906-487-2280 or email@example.com.
Job Description Summary
A two-year post-doctoral position will be available to work on omics-data analysis in the laboratory of Dr. Hairong Wei at the College of Forest Resources and Environmental Science, Michigan Technological University. Research will focus on identifying regulatory and signaling networks and associated regulatory factors downstream of the Rop GTPase-TORC nutrient sensing and signaling relay using fundamental bioinformatics analysis and advanced statistical and mathematical modeling. Novel method development will be encouraged to facilitate the data modeling for identifying the target genes and network.
Michigan Tech attracts world-class staff and faculty who enrich the educational experience of smart, motivated, and adventurous students. Applicants who are committed to promoting a sense of belonging and contributing to an equitable and inclusive learning environment for all are strongly encouraged to apply (https://www.mtu.edu/diversity-inclusion/).
Dr. Wei's group has developed a series of tools and software pipelines for facilitating gene expression data analysis and knowledge discovery from omics data. For example, Top-down GGM Algorithm and Bottom-up GGM algorithm for constructing multilayered gene regulatory networks (GRNs), JRmGRN for constructing a cross-tissue GRN and multiple tissue-specific GRNs by modeling omics data from multiple tissues jointly, HB-PLS: Huber loss - Berhu penalty and Partial Least Squares for identifying pathway regulators, TF-Cluster for identifying regulatory genes that function in a collaborative network to regulate a biological process or a complex trait and Huber-ENET and Huber-Lasso for predicting the target genes of a transcription factor of interest.
Essential Duties & Responsibilities (other duties may be assigned)
The research will focus on the analysis and interpretation of “omics” data generated from Populus trichocarpa, with specific emphasis on identification of regulatory and signaling networks and associated regulatory factors that are located downstream of the Rop GTPase-TORC nutrient sensing and signaling relay. The methods include fundamental bioinformatics analysis and advanced statistical and mathematical modeling. Novel method development will be encouraged but not absolutely required. The successful candidate will be responsible for presenting findings and interpretation regularly to internal and external groups and publishing the research results and methodology, and is expected to work independently in a laboratory setting.
Apply safety-related knowledge, skills, and practices to everyday work and commit to learning about continuous improvement strategies and applying them to everyday work.
Knowledge of R Programming Knowledge of data analysis Applicants should be able to speak and write in English effectively.
Desirable Knowledge, Skills, and/or Abilities
Biological knowledge in omics data analysis and mathematical and/or statistical modeling is desired. Programming knowledge in Python or Perl is expected. Knowledge of Unix/Linux platform.
Language, Mathematics and/or Reasoning Skills
Applicants should be able to speak and write in English effectively.
Aptitude to involve mathematics/statistics to solve problems is expected.
Work Environment and/or Physical Demands
The work environment is that of a typical office and/or lab setting. The noise level in the work environment is usually low to moderate.
Required Training and Other Conditions of Employment
Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department.
Required University Training:
Employee Safety Overview
Anti-Harassment, Discrimination, Retaliation Training
Annual Data Security Training
Annual Title IX Training
Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.
Other Conditions of Employment:
The successful applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the appointment. This is not an E-Verified Position.
Full-Time Equivalent (FTE) % (1=100%)
Title of Position Supervisor
Internal & External Posting
Dependent on Funding
Special Instructions to Applicants (if applicable)
Interested applicants should upload
Current curriculum vitae
A letter of interest and a statement of prior research experience
one to three publications in PDF format
the names and contact information of 3 referees
The position is expected to begin September 4, 2023, and go until August 31, 2025. For domestic applicants, working remotely may be considered.
For domestic applicants, working remotely may be considered.
Michigan Technological University, one of the four major research universities in the State of Michigan, is located in Michigan’s Upper Peninsula adjacent to Lake Superior. The community offers a small-town environment with outstanding four-season recreational opportunities. Michigan Tech is located in Houghton, MI on the south shore of Lake Superior.
Michigan Tech is proud to be an ADVANCE Institution that has thrice received National Science Foundation support to increase diversity, inclusion, and the participation and advancement of women and underrepresented individuals in STEM. (see https://www.mtu.edu/advance/).
Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer, that provides equal opportunity for all, including protected veterans and individuals with disabilities.
Our scope is international. Our approach interdisciplinary. We work at the intersections of communication, composition, literature, modern languages, philosophy, rhetoric, visual studies, linguistics, gender studies, and technical communication. Our students develop the communicative, analytic, and cultural knowledge to thrive in all aspects of their future lives.Applications from women and BIPOC scholars are highly encouraged by both the department and the institution. Michigan Tech is building a culturally diverse faculty committed to teaching and working in a multicultural environment and strongly encourages applications from all individuals.