Postdoctoral Research Associate I |
Posting Number |
req20378 |
Department |
School of Information |
Department Website Link |
infosci.arizona.edu |
Location |
Main Campus |
Address |
Tucson, AZ USA |
Position Highlights |
The College of Information Science is seeking an early career scientist with background in quantitative biology (preferably with experience on phylogenetics) to fill a position as Postdoctoral Researcher at the Data Diversity lab at the College of Information Science. The Postdoctoral researcher will work on programming projects that might be related, but not limited, to (1) developing an Approximate Bayesian Computation (ABC) framework for inferring (the presence and strength of) biological processes (speciation, extinction, host shifts, and potentially phenotypic evolution) from co-phylogenetic patterns, and (2) assembling an associated R package for the related code.
This is a temporary, six-month assignment. Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here. |
Duties & Responsibilities |
DUTIES AND RESPONSIBILITIES:
- Write
scholarly publications. - Write
reproducible code. - Contribute
to the preparation of reports and proposals. - Participate
with supervision of students and teaching.
KNOWLEDGE, SKILLS, AND ABILITIES:
- Skills
with R, Python or other programming languages. - Strong
communication skills. - Ability
to write peer-reviewed publications.
|
Minimum Qualifications |
- PhD in
Biology or a quantitative discipline upon hire. - Experience
in innovative research.
|
Preferred Qualifications |
- Experience with software development
- Experience conducting systematic literature reviews
- Experience with machine learning.
- Background in quantitative biology (preferably with experience on phylogenetics).
- Experience with Approximate Bayesian Computation.
|
FLSA |
Exempt |
Full Time/Part Time |
Full Time |
Number of Hours Worked per Week |
40 |
Job FTE |
1.0 |
Work Calendar |
Fiscal |
Job Category |
Research |
Benefits Eligible |
Yes - Full Benefits |
Rate of Pay |
$61,008 |
Compensation Type |
salary at 1.0 full-time equivalency (FTE) |
Type of criminal background check required: |
Name-based criminal background check (non-security sensitive) |
Number of Vacancies |
1 |
Target Hire Date |
|
Expected End Date |
|
Contact Information for Candidates |
Cristian Roman-Palacios
cromanpa@arizona.edu |
Open Date |
8/23/2024 |
Open Until Filled |
Yes |
Documents Needed to Apply |
Curriculum Vitae (CV) and Cover Letter |
Special Instructions to Applicant |
|
Notice of Availability of the Annual Security and Fire Safety Report |
In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures. Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu. |