Job Description
This is a unified application form for all positions in the Optimization and Machine Learning Lab at KAUST led by Prof Peter Richtarik, including
Research Intern
MS/PhD Student
PhD Student
Postdoctoral Fellow
Research Scientist
This lightweight form is intended as a first point of contact, and should be used instead of sending an email.
Qualifications
Outstanding academic record appropriate to the position you are applying to.
Strong mathematics training and skills
Strong computer science training and skills
Application Instructions
Application documents:
Brief cover letter, explaining your motivation for applying,
Detailed curriculum vitae (including your email address),
Complete transcript of grades from all your university-level studies.
We do not ask for more information/documents at this point (but you can provide more if you want). Should your profile be shortlisted, we will ask for further information if there is a need for this (e.g., reference letters), and a Zoom interview will be scheduled.
Job Description
Assist with the delivery of Scholarship applications and selection activities in accordance with the processes, practices and guidelines.
Prepare scholarship offers, prepare scholarships and payments, and process system reports and requests.
Support the team in the delivery of services by responding to staff and student enquiries, assisting with collating data, preparing reports, and monitoring enrolment and progress as directed
Implement External Sponsors policies and procedures related to student scholarship activities.
Assist in the execution of the scholarship program based on guidelines form the Scholarship Specialist and Enrollment Director.
Participate in the scholarship assessment process
Provide External Sponsors with the list of admitted students to review eligibility for scholarship.
Record the academic performance of scholarship students to assist External Sponsors in determining the eligibility of continued scholarship.
Make a timely response to direct requests from individual applicants, parents, and counselors through phone, email, and assisting visitors to the office.
Deliver an effective student scholarship service in a transparent manner.
Maintain information databases on current students and background information, for the application and selection process
Maintain and update all scholarship records accurately and promptly.
Assist the Admissions team on students’ visa/sponsorship status.
In conjunction with the scholarships Specialist, assist with the orientation for scholarship students
Adhere to the University's information security and confidentiality policies and procedures, and report breaches or other security risks accordingly
Coordinate with other departments to facilitate the accomplishment of tasks and responsibilities, as and when needed
Perform any other tasks assigned by the Line Manager
Qualifications
Required Qualifications
A Bachelor’s Degree in related field.
Required Experience
Expats: A minimum 5 years of relevant experience.
UAE Nationals: A minimum of 0‐1 years of relevant experience
Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team (recruitmentteam@ku.ac.ae).
Primary Location: Khalifa University - Abu Dhabi, UAE
Job: Specialist
Schedule: Regular
Shift: Standard
Job Type: Full-time
Job Description
This is a unified application form for all positions in the Optimization and Machine Learning Lab at KAUST led by Prof Peter Richtarik, including
Research Intern
MS/PhD Student
PhD Student
Postdoctoral Fellow
Research Scientist
This lightweight form is intended as a first point of contact, and should be used instead of sending an email.
Qualifications
Outstanding academic record appropriate to the position you are applying to.
Strong mathematics training and skills
Strong computer science training and skills
Application Instructions
Application documents:
Brief cover letter, explaining your motivation for applying,
Detailed curriculum vitae (including your email address),
Complete transcript of grades from all your university-level studies.
We do not ask for more information/documents at this point (but you can provide more if you want). Should your profile be shortlisted, we will ask for further information if there is a need for this (e.g., reference letters), and a Zoom interview will be scheduled.
Job Description
This is a unified application form for all positions in the Optimization and Machine Learning Lab at KAUST led by Prof Peter Richtarik, including
Research Intern
MS/PhD Student
PhD Student
Postdoctoral Fellow
Research Scientist
This lightweight form is intended as a first point of contact, and should be used instead of sending an email.
Qualifications
Outstanding academic record appropriate to the position you are applying to.
Strong mathematics training and skills
Strong computer science training and skills
Application Instructions
Application documents:
Brief cover letter, explaining your motivation for applying,
Detailed curriculum vitae (including your email address),
Complete transcript of grades from all your university-level studies.
We do not ask for more information/documents at this point (but you can provide more if you want). Should your profile be shortlisted, we will ask for further information if there is a need for this (e.g., reference letters), and a Zoom interview will be scheduled.
Job Description
This is a unified application form for all positions in the Optimization and Machine Learning Lab at KAUST led by Prof Peter Richtarik, including
Research Intern
MS/PhD Student
PhD Student
Postdoctoral Fellow
Research Scientist
This lightweight form is intended as a first point of contact, and should be used instead of sending an email.
Qualifications
Outstanding academic record appropriate to the position you are applying to.
Strong mathematics training and skills
Strong computer science training and skills
Application Instructions
Application documents:
Brief cover letter, explaining your motivation for applying,
Detailed curriculum vitae (including your email address),
Complete transcript of grades from all your university-level studies.
We do not ask for more information/documents at this point (but you can provide more if you want). Should your profile be shortlisted, we will ask for further information if there is a need for this (e.g., reference letters), and a Zoom interview will be scheduled.
Description
This is a unified application form for all positions in the Optimization and Machine Learning Lab at KAUST led by Prof Peter Richtarik, including
Research Intern
MS/PhD Student
PhD Student
Postdoctoral Fellow
Research Scientist
This lightweight form is intended as a point of first contact, and should be used instead of sending an email.
Qualifications
Outstanding academic record appropriate to the position you are applying to.
Application Instructions
Application documents:
Brief cover letter, explaining your motivation for applying,
Detailed curriculum vitae (including your email address),
Complete transcript of grades from all your university-level studies.
We do not ask for more information/documents at this point (but you can provide more if you want). Should your profile be shortlisted, we will ask for further information if there is a need for this (e.g., reference letters), and a Zoom interview will be scheduled.
King Abdulaziz University Scholarship in Saudi Arabia is a Full Free Scholarship for students from any part of the world. All the Expenses will be covered by the University.
Read Carefully the Information about Study in Saudi Arabia for International students in the kingdom of Saudi Arabia.
Checkout: Scholarships for African students 2021/2022
Not Specified
Job Description
This is a unified application form for all positions in the Optimization and Machine Learning Lab at KAUST led by Prof Peter Richtarik, including
Research Intern
MS/PhD Student
PhD Student
Postdoctoral Fellow
Research Scientist
This lightweight form is intended as a point of first contact, and should be used instead of sending an email.
Qualifications
Outstanding academic record appropriate to the position you are applying to.
Application Instructions
Application documents:
Brief cover letter, explaining your motivation for applying,
Detailed curriculum vitae (including your email address),
Complete transcript of grades from all your university-level studies.
We do not ask for more information/documents at this point (but you can provide more if you want). Should your profile be shortlisted, we will ask for further information if there is a need for this (e.g., reference letters), and a Zoom interview will be scheduled.
Job Description
The National Space Science and Technology Center (NSSTC) invites applications from enthusiastic, ambitious, and hard-working Emirati nationals for a graduate scholarship leading to a PhD related to Mars Science, to start in Spring or Fall 2022. Supervision of the PhD thesis will be done jointly between NSSTC and a partnering University Department (Geography, Geology, Physics, etc.). Applications for entry in Spring 2022 must be submitted as soon as possible. For entry in Fall 2021, applications must be submitted by 30 November 2021, and we will look favourably on applicants willing to join NSSTC as a Research Assistant from January 2022, to bridge the gap until the start of the PhD program. The PhD project is linked to the Emirates Mars Mission (EMM), which arrived at Mars in early 2021. The area of study will be "Building and analysing comprehensive Mars dust storm databases from 1 Martian Year of EMM observations". This project would suit a person with pronounced interest and a study background in remote sensing (both satellite imagery and quantitative data) and atmospheric and planetary science. With the imminent arrival of EMM at Mars, NSSTC is very keen to recruit Emirati nationals as PhD students in this area. The task of this PhD project is to build a dust storm database spanning at least 1 Martian Year (1 Martian Year is ca. 1.9 Earth Years) based on EMM. The database construction will start with the beginning of the EMM Science phase, scheduled for early-to-mid 2021. The basis of this database will be images by the EMM instrument EXI (Emirates Exploration Imager). The combination with quantitative data on the dust optical depth, atmospheric temperature, etc. from the EMM instruments EXI and EMIRS (Emirates Mars Infrared Spectrometer) is possible. A particular challenge is the fact that EMM will map dust storms each few hours or, equivalently, several times per day. This implies that the database has to be updated on a sub-daily basis. Likewise, this makes the database unique from existing dust storm databases. An integral part will be the subsequent statistical/mathematical analysis of dust storm characteristics such as source region, storm track and size, timing and duration, etc. The student will join the EMM science team and work alongside Emirati and international scientists to achieve the project goals. Please see also https://www.uaeu.ac.ae/en/cgs/phd-projact-2pdf.pdf for more information. This job advertisement is to select a student for the NSSTC scholarship. The accepted candidate will be supported by NSSTC for four years with a stipend of about 11,000 AED/month. For formal admission to a PhD program, the selected applicant will then need to apply for a PhD program through UAEU's College of Graduate Studies. Separate scholarships are also available to cover tuition fees - please see https://www.uaeu.ac.ae/en/cgs/scholarship.shtml for details. For further information, please contact Dr. Claus Gebhardt at claus.gebhardt@uaeu.ac.ae or +971 3 713 4487. Instructions to Applicant: Submit the following via Jobs@UAEU (please don't email): Motivation letter (ca. 2 pages). CV (ca. 2 pages). Certified University diplomas and transcripts. IELTS exam certificate. Arrange for two letters of recommendation from professionals familiar with your academic work. Copy of Passport and Khulasat Al-Qaid.
Minimum Qualification
Emirati nationality. Bachelor's and Master's degree in a relevant subject: Remote Sensing, Geography, Geology, Physics, Mathematics, Astrophysics, Space Science, Computer Science, Data Science, Meteorology, Atmospheric Science, Planetary Science, or similar. Bachelor GPA 2.50, Master GPA 3.00 (or equivalent) or higher. IELTS Academic 6.5, assessed in the last two years (unless some exception applies). Full PhD admission requirements can be found at https://www.uaeu.ac.ae/en/cgs/admission.shtml.
Preferred Qualification -
Expected Skills/Rank/Experience
A keen interest in space exploration and planetary science. A strong aptitude for computing work and programming. Strong mathematical ability. Excellent communication skills in English, both verbal and written. An ideal candidate will have taken courses both in Remote Sensing, Mathematical Data Analysis, and Atmospheric/Planetary Science.
Special Instructions to Applicant
See "Job Description" above for the list of required application materials.
Division National Space Science&Tech. Center
Department National Space Science&Tech. Center
Job Close Date open until filled
Job Category Academic - Research Assistant
Salary 11000
Description
The Smart Systems Engineering Laboratory at the college of engineering, Prince Sultan University, is multidisciplinary research and consultancy center located at Riyadh, Saudi. We have research assistant and visiting Ph.D students positions openings for electrical communications in the following research areas:
IoT and wireless sensor networks.
Artificial intelligence for wireless and optical communication systems.
Advanced wireless and optical techniques such as massive MIMO, OFDM, cognitive radios.
Multimedia communications and cross layer design over next generation wireless networks..
Signal Processing.
Antenna and wave propagation.
For more information about the positions, we refer to the following website:
research engineering Website
student program
Applications documents:
A full Curriculum Vitae, including google scholar profile.
A cover letter
No more than three pages of research proposal with listing the needed equipment in terms of hardware and software and their approximate prices
A complete list of publications, including the H-index
Contact information for three professional references
Contact information for three professional references
The application should be submitted to the email: smart@psu.edu.sa