Position Information: Description

This position is full-time and benefitted; the appointment is for 18 months.  The successful candidate will work in the research group of Dr. Deniz Cakir and contribute to ongoing research on the MAB phases (which are atomically laminated, ternary transition metal borides) using Density Functional Theory, Machine Learning, and Dynamical Mean Field Theory.  Applicant should have a Ph.D. in physics, chemistry, and material science, and is expected to be independent, highly motivated, have very good communication skills and must possess collaborative skills to work with experimentalists.  

Duties & Responsibilities

The successful candidate will conduct first-principle simulations to understand material properties of novel MAB phases.  The candidate will help Dr. Cakir in training graduate students in research and computational tools.  It is expected that the candidate will make a significant contribution to both current and future research projects of Dr. Cakir's group.  

Minimum Requirements

A Ph.D. in the physical sciences (Physics, Chemistry, or Materials Science)Experience with programming (such as Python)Expert knowledge of first-principles calculations using DFT (VASP is highly preferred)Experience in crystal structure prediction and high-throughout calculationsSuccessful completion of criminal history records check

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire.  This position does not support visa sponsorship for continued employment.

Preferred Qualifications

Experience in the first-principles many-body approaches (especially DFT +DMFT) and machine learningExperience in electrochemistry (such as constructing Pourbaix diagrams) and cluster expansion are highly preferred

Minimum Hiring Salary

$45,000

Work Schedule/Start DateStart date of November 1, 2021. This is an 18 month position.

To Apply

For full consideration, applications must be received by 11:59 pm on October 4, 2021.  

Position is open until filled.

Additional Information

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All information listed in this position announcement will be used by Human Resources, the Hiring Department, and EO/Title IX for screening, interviewing and selection purposes.

Confidentiality of Application Materials

Pursuant to NDCC 44-04-18.27, applications and any records related to the applications that identify an applicant are confidential, except records related to the finalists of the position, which are open to the public after the search committee has identified the top three finalists who will be invited to campus.

EEO Statement

The University of North Dakota is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or other protected characteristic. Women, minorities, veterans, individuals with disabilities, and members of other underrepresented groups are especially encouraged to apply. Applicants are invited to provide information regarding their gender, race and/or ethnicity, veteran’s status and disability status as part of the application process. This information will remain confidential and separate from your application.

Veteran’s Preference

Veterans claiming preference must submit all proof of eligibility by the closing date. Proof of eligibility includes a DD-214 or NGB 22 and if claiming disabled status, a current letter of disability from the VA dated within the last 12 months.

Clery Statement

In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the University of North Dakota publishes an Annual Security and Fire Safety Report. The report includes the university’s policies, procedures, and programs concerning safety and security, as well as three years’ of crime statistics for our campus. As a prospective employee, you are entitled to a copy of this report. The report and statistical data can be found online at UND.edu. You may also request a paper copy of the report from the UND Police Department located at 3851 Campus Road, Grand Forks, ND, 58202.