Faculty Positions in Artificial Intelligence

Carnegie Mellon University; Doha; On-site; QAR 291,226 - 436,839; Full time

Benefits offered by this job

Competitive salaries

Seed funds for research

International health care coverage

Allowances for housing, travel, and schooling

Job summary

Carnegie Mellon University in Qatar is seeking applications for multiple teaching-track faculty positions in AI beginning in Fall 2025. Candidates must hold a Ph.D. in Computer Science or equivalent and have a strong commitment to teaching and mentoring undergraduate students. The role involves teaching various AI courses and engaging in research while offering competitive salaries and professional development support.

The successful candidates will also be encouraged to spend one semester at the Pittsburgh campus for collaboration, making it a unique opportunity for academic growth.

Qualifications

• Outstanding academic credentials.
• Strong interest in teaching fundamentals and advanced AI.
• Ability to mentor undergraduate students.

Responsibilities

• Teach courses in AI, including Deep Learning and Machine Learning.
• Engage in research and mentoring activities.
• Participate in outreach and curriculum development.

Skills

Teaching commitment

Mentoring skills

Research in AI

Curriculum development

Education

Ph.D. in Computer Science or related field

Job description

Carnegie Mellon University in Qatar (CMUQ)

Open Date

Sep 24, 2024

Description

Carnegie Mellon University (CMU) in Qatar invites applications for multiple teaching‑track faculty positions in AI, starting in Fall 2025. The appointments are at the rank of assistant teaching professor, but candidates with substantial teaching experience and significant research impacts may be considered for higher levels.

The positions involve a reasonable teaching load, thus providing candidates with the opportunity to actively conduct research and engage in a range of academic activities, including student advising, outreach, curriculum development, and experimentation with new teaching methodologies, among others.

Funds are available from CMU and national agencies to support research agendas. As such, candidates are encouraged to apply for research grants, recruit students and postdocs, and lead high‑quality research projects.

These positions are based at CMU’s branch campus in Doha, Qatar and offer competitive salaries, seed funds for research, attractive professional development support, excellent international health care coverage, and allowances for housing, travel, and schooling, if eligible, alongside other benefits. The successful candidates will be encouraged to spend one semester in the main campus in Pittsburgh, USA at the beginning of their appointments. Subsequent visits to the main campus for collaborations are incentivized and supported.

About CMU in Qatar

CMU in Qatar (CMUQ) operates in concert with several other American and European branch campuses under the umbrella of Qatar Foundation’s Education City (https://www.qf.org.qa/education/education-city). The branch campus closely follows the admissions requirements and English language curriculum of the home campus in Pittsburgh, USA which awards all degrees. The several thousand students in the Education City are a broad mix of nationalities, but primarily from the Middle East, North Africa, and South Asia. CMUQ’s faculty is a mix of professionals hired specifically for this campus and seconded by faculty from the main campus. CMUQ’s primary focus is undergraduate education in Business Administration, Biological Sciences, Computer Science, and Information Systems.

Our Commitment to Diversity, Equity, and Inclusion

Carnegie Mellon University is an equal opportunity employer and is committed to increasing the diversity of its community on a range of intellectual, cultural, and social dimensions. Carnegie Mellon welcomes faculty applicants who will contribute to this diversity through their research, teaching, and service, including women, members of minority groups, protected veterans, individuals with disabilities, and others who would contribute in different ways.

Qualifications

Candidates must have a Ph.D. in Computer Science or related field, with outstanding academic credentials. The positions expect strong interest and commitment to teaching, mentoring, and supporting students at the undergraduate level. They involve teaching fundamental and advanced courses in AI, including Machine Learning, Deep Learning, Natural Language Processing, or Computer Vision. Besides being excellent educators, candidates are expected to actively engage in activities such as research, outreach, advising, and/or curriculum development.

Application Instructions

The deadline for submissions of applications is October 20, 2024. Applications received afterwards will be considered if the positions are not filled. Candidates must submit their applications electronically at: http://apply.interfolio.com/155364.

An initial application must include the following:

• A cover letter that summarizes the candidate’s academic achievements, research work, suitability to teach courses in AI, Machine Learning, Deep Learning, Natural Language Processing, or Computer Vision.
• A curriculum vitae (including a publication list).
• A teaching statement that outlines the candidate’s teaching philosophy and experience (maximum 2 pages).
• A research statement that describes the candidate's research interests and projects (maximum 2 pages).
• A diversity statement that explains how the candidate’s personal, academic, and professional experiences position them to address issues of diversity and inclusion in their teaching and mentoring of diverse students (maximum 2 pages).

Upon initial screening of the applications, each shortlisted candidate will be asked to provide:

• A 2‑minute video summarizing their experience.
• The contact information of at least three individuals who can provide confidential letters of reference.

Please send all your inquiries to the Chair of the Hiring Committee, Dr. Mohammad Hammoud, at [e-mail].

Application Process

This institution is using Interfolio’s Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.