Path 1 Kawader Research Assistant Mars And Space Exploration

NYU Abu Dhabi invites applications for a Kawader Research Assistant position in Mars and Space Exploration within the Center for Astrophysics and Space Science.

The successful candidate will work with the Center’s Space Exploration Laboratory and contribute to research investigating the atmosphere and surface of Mars using observations from the Emirates Mars Mission (EMM) “Hope” probe.

The Research Assistant will analyze data from the Hope mission and other Mars missions and conduct simulations using NYU Abu Dhabi’s high-performance computing (HPC) system. The successful candidate will also contribute to the preparation of scientific manuscripts and presentations, supporting the dissemination of research findings to the global scientific community.

What the Program Offers

• Full-time paid research position for up to 3 years.
• Mentorship by internationally recognized NYUAD faculty members and researchers.
• Professional development and academic training opportunities.
• Exposure to interdisciplinary and collaborative research projects.
• Support in preparing for graduate school applications.
• Hands-on experience analyzing data from the Emirates Mars Mission “Hope” probe and other Mars missions.
• Research experience in planetary science, scientific computing, data analysis, and machine learning.
  
  

Key Responsibilities

• Analyze Hope mission data to study the atmosphere and surface of Mars.
• Assist with the analysis of data from other Mars missions to provide complementary observations of the Martian atmosphere.
• Run simulations using NYU Abu Dhabi’s high-performance computing (HPC) system to support the interpretation of observations from the Hope probe.
• Assist with the preparation of scientific manuscripts and presentations to communicate research findings to the global scientific community.
  
  

Supervision

This position is supervised by Ian Dobbs-Dixon and Dimitra Atri in the Center for Astrophysics and Space Science at NYU Abu Dhabi.

Required

• Bachelor’s degree in physics, engineering, computer science, or a related discipline.
• Experience with Python and machine learning.
  
  

Preferred

• Master’s degree in physics, engineering, computer science, or a related discipline.
• Experience working on a data analysis project involving Python and machine learning.
  
  

For questions regarding the position, please contact nyuad.kawader@nyu.edu.

Applicants Should Prepare The Following Materials

• Curriculum vitae (CV).
• Statement of interest in the position.
• Academic transcript(s).
• Two letters of recommendation.
  
  

Additional Program Information

UAE nationals are encouraged to apply

This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html

Kawader is a unique, national capacity-building research fellowship program that allows outstanding graduates to gain experience in a cutting-edge academic research environment. This three-year, individually tailored, intensive program has two distinctive paths designed for (Emirati) graduates considering a graduate degree or a career in research.

For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)

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NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.

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