Postgraduate Researcher in Computer Science

New Mexico Highlands University Portal; Las Vegas (NM); On-site; USD 59,000 - 72,000; Full time

Job summary

New Mexico Highlands University in Las Vegas, NM invites applications for a research appointment within the NMHU–BioPACIFIC MIP PREM. The appointee will design a machine-learning algorithm to predict the shapes of magnetic hysteresis curves and mentor undergraduate and graduate students.

Responsibilities include teaching three courses per semester (graduate or undergraduate) in consultation with the Department Chair and presenting results at conferences and in publications, advancing materials

Qualifications

• Expert knowledge of programming and machine learning.
• Experience with high-performance computing (HPC).

Responsibilities

• Design and develop a machine learning algorithm capable of predicting the shape of magnetic hysteresis curves for material science applications.
• Teach three classes per semester, graduate or undergraduate, in consultation with the Department Chair.
• Mentor undergraduate and graduate students and present results at conferences/publications.

Skills

Programming

Machine learning

HPC

Tools

HPC

Job description

Full Time/Part Time

Full Time/Part Time Full Time

Job Type

Regular

Position Summary

New Mexico Highlands University is an open admissions university with over 75% Hispanic, Native American, and African American students. NMHU serves approximately 2,800 undergraduate and graduate students at the main campus in Las Vegas, NM and another 1,300 students at centers in Santa Fe, Rio Rancho, and Albuquerque. Nearly 51% of students are at the Master’s level.

The NMHU–BioPACIFIC MIP PREM represents a collaboration between New Mexico Highlands University ( NMHU ) and BioPACIFIC Materials Innovation Platform ( MIP ) at University of California, Santa Barbara ( UCSB ) and University of California, Los Angeles ( UCLA ) in design, synthesis and applications of metal-organic hybrid biomaterials.

The work will take place in a multi-disciplinary environment. An appointee in this position will be responsible for advancing PREM goals by working with faculty and students to understand how to design new materials and improve materials modeling and synthesis capabilities. The research teams’ goals are to unlock the potential of metal-organic frameworks, biomaterials, and hybrid organic-inorganic materials to establish a new area of materials science research at NMHU.

An appointee should supervise both undergraduate and graduate students. He/she should present obtained results in form of research conference presentations and publications.

Duties and Responsibilities

• Design and develop a machine learning algorithm capable of predicting the shape of various magnetic hysteresis curves for future applications in material science. This may include the installation and management of computing resources necessary to conduct said research as well as the mentorship of undergraduate and graduate researchers
• Teach three classes per semester, either at the graduate or undergraduate level, in consultation with the Department Chair
• Perform other related duties as assigned
• Knowledge of machine learning and artificial intelligence applied to materials science, specifically to materials modeling and predictions of materials structure – properties relations
• Experience in mentoring undergraduate and graduate students in research projects

Preferred Qualifications

• Strong work ethic and motivation to lead multiple research projects

Knowledge, Skills, and Abilities

• Expert knowledge of programming and machine learning
• Experience related to high-performance computing ( HPC )

Pay Rate

$65,064

Work Location/Campus Center

Work Location/Campus Center Las Vegas, NM Campus

EEO Statement

New Mexico Highlands University is an affirmative action, equal opportunity employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class. We are committed to the University values of diversity, accessibility, excellence, and responsiveness.

For disabled access or services call 505-454-3242 or email [e-mail]

Visit the link below for more information regarding affirmative action and equal opportunity:

Equal Employment Opportunity is THE LAW

Required fields are indicated with an asterisk (*)

• * What is the highest level of education attained?
  • GED
  • High School Diploma
  • Associates Degree
  • Bachelors Degree
  • Masters Degree
  • PHD
• * How many years of experience do you have in this type of position?
  • 0-1
  • 1-3
  • 3-5
  • 5-7
  • 7+

Documents Needed to Apply

• Required Documents
  • Cover Letter/ Letter of Interest
  • Unofficial Transcripts Conferring Required Degree
  • Curriculum Vitae
• Optional Documents