Job Description
The KAUST Mechanical Engineering (ME) program seeks candidates at all ranks who will develop a world-class competitive research program in Robotics, Control & Mechatronics, with expertise in Autonomous and Field Robotics, with an applications emphasis in areas such as energy, marine, transportation and agriculture. Topics include multi-robot systems, self-assembly, swarms, human-robot interactions. The candidates should have strong expertise in areas of control, mechatronics or algorithm development. Experience with applying AI/ML tools to robotics problems will be considered an added bonus.
The ME programs plays a pivotal role in supporting KAUST strategic initiatives: artificial intelligence, climate and livability, circular carbon initiative and smart health. Applications that would strengthen our footprint in one or more of these initiatives will be strongly considered.
The ME program focuses on the following areas: fuels and energy, fluid mechanics, materials and solid mechanics, and dynamics and control.
About the PSE Division and KAUST
The ME program belongs to the Physical Science and Engineering Division that comprises seven Degree Programs: Material Science and Engineering, Applied Physics, Earth Science and Engineering, Energy Resources and Petroleum Engineering, Chemical Science, Chemical Engineering, and Mechanical Engineering. These disciplines provide the foundation for our Division's quest to address some of the major challenges that we face in the world today, including those related to energy and the environment. Specifically, our faculty members and their research teams work on topics as diverse as: photovoltaics, super capacitors, porous materials for carbon capture and membranes, clean combustion, atmospheric modeling, new polymers and composite for smart materials and structures.
KAUST is an international graduate research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located in Saudi Arabia, on the western shores of the Red Sea, KAUST offers superb research facilities, generous baseline research funding, and internationally competitive salaries, together with unmatched living conditions for individuals and families. More information about KAUST academic programs and research activities are available at:
http://www.kaust.edu.sa
Qualifications
A relevant Ph.D. degree. Proven track record in managing a research group as well as publishing high-impact papers.
Teaching and service responsibilities
Commitment to high-quality teaching at the graduate level, including two courses per academic year. Active service to KAUST on all aspects of academic life.
Research Responsibilities
The University offers access to multiple sources of research funding to its Principal Investigators. The successful applicant should have an established record of publishing high-impact papers, and is expected to create a thriving research program including engaging in national and international scientific collaborations.
Application Instructions
Applicants are required to complete an online application form using the Interfolio online application system (https://www.kaust.edu.sa/en/about/faculty-positions). To prevent any delays in reviewing your application, you will need to upload the following materials:
a cover letter, introducing your candidacy, and explicitly stating both the position and the rank (Assistant, Associate, Full) that the candidate is applying for, is required. The rank must be consistent with the candidate experience,
up-to-date curriculum vita which includes full publication list,
statement of research interests,
statement of teaching interests,
a list of the names/affiliation and contact details of at least six potential referees,
copies of most relevant publications (maximum of five),
two citation reports (Web of Science and Scopus).
PLEASE NOTE: Only complete applications submitted through the online application system will be considered. Applications will be evaluated as soon as they are received, and will receive full consideration until the positions are filled.
About Khalifa University
Khalifa University is ranked 181st in the QS World University Rankings 2023, and the top University in the UAE, with a range of research and academic programs designed to address the entire range of strategic, scientific and industrial challenges facing our rapidly evolving world.
Its world-class faculty and state-of-the-art research facilities provide an unparalleled learning experience to students from the UAE and around the world. Our research and academic activities cover a broad range of disciplines in engineering, science and medicine through our three colleges.
Khalifa University’s research relates to key focus sectors of relevance to the UAE’s strategic economic growth and the technology platforms that serve as foundations for these sectors. The University’s research priorities are addressed in two categories “verticals” and “horizontals” which jointly cover specific industry and sector needs, technical platforms and expertise.
KU’s focus sectors are Clean and Renewable Energy, Hydrocarbon Exploration and Production, Water and Environment, Healthcare, Aerospace, and Supply Chain and Logistics. Research in these sectors is enhanced by our research platforms of Robotics, AI and Data Science, Information and Communication Technologies, and Advanced Materials and Manufacturing as well as Fundamental Sciences.
Position Overview
KU is seeking an experienced & highly motivated Research Scientist to work on
Functional porous materials/MOFs/ZIFs New polymers and hybrids/Biomaterials
Candidates should emphasize in their package evidence of high-quality publications as lead author and the potential to do independent research. These positions are initially for one year but are extendable based on satisfactory performance.
As part of the project, the researcher will have access to state-of-the-art research equipment and facilities at the AMCC (URL) and will get an opportunity to work alongside researchers and graduate students from various backgrounds as part of a wider team.
Position Requirements
Experience in Porous materials synthesis and characterization to lead the project Publishing high quality articles in top 10 % journal of the field as lead author Adhere to the University's information security and confidentiality policies and procedures, and report breaches or other security risks accordingly Perform any other tasks assigned by the Line Manager
Qualifications
Candidate Profile
Essential Criteria
PhD from a reputable university in Materials Chemistry/Materials Science or related discipline
At least four (4) years post-doctoral research experience and H-Index in SCOPUS/Google Scholar of at least 8
Expert level knowledge project subject area as evidenced by relevant publications and or patents
Track record of contributing to the writing of successful research grants
A willingness to contribute to a collaborative and supportive team culture
Excellent English language communication skills (verbal and written)
Ability to work both independently and as part of a team
The proven ability to lead work on multiple tasks with competing demands and deadlines.
Ability to train and mentor students and support fellow researchers
Highly developed reasoning and problem-solving skills
Desired Criteria
PhD from and/or experience working in a top 200 QS or THE ranked University
High impact first-author publications in top 10% journals in the relevant field
Experience leading competitive research grants as principal investigator or named co-investigator in the project team
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: Abu Dhabi UAE
Job: Research Scientist
Schedule: Regular
Shift: Standard
Job Type: Full-time
Job Description
The Division of Science, Mathematics department at New York University Abu Dhabi is inviting applications for fully-funded postdoctoral research associate positions in the following areas:
Stability of 2D/3D crowd motion and multi-level building evacuation using mean-field-type games.
Stability of singularity formation in fluid systems.
Nonlinear instabilities and transition thresholds in Couette flow
Wave turbulence
Stability in geophysical fluids and plasmas physics
New York University has established itself as a Global Network University, a multi-site, organically connected network encompassing key global cities and idea capitals. The network has three foundational degree-granting campuses: New York, Abu Dhabi, and Shanghai, complemented by a network of over 15 research and study away sites across five continents. Faculty and students will circulate within the network in pursuit of common research interests and cross-cultural, interdisciplinary endeavors, both local and global. NYU Abu Dhabi has recruited a cohort of faculty who are at once distinguished in their research and teaching. Our students are drawn from around the world and surpass all traditional recruitment benchmarks, both US and global. NYU Abu Dhabi’s highly selective liberal arts enterprise is complemented by an institute for advanced research, sponsoring cutting-edge projects across the Arts, Humanities, Social Sciences, Sciences, and Engineering.
Candidates must hold (or be close to completing) a Ph.D. in Mathematics and Applied Mathematics. PhD holders with a strong publication record, a background in singularity formation, 3D deep strategic learning, and experience with experimental and computational mean-field-type game theory are encouraged to apply. Applications will be accepted immediately. To be considered, all applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, representative publications and provide two recommendation letters.
The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. If you have any questions, please email: teg6@nyu.edu.
About NYUAD
NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.
EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer
UAE Nationals are encouraged to apply.
Qualifications
This position is not located in the United States. You must be willing to relocate to Abu Dhabi, United Arab Emirates
Equal Employment Opportunity Statement
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.
Job Description
The Department of Mathematical Sciences at the United Arab Emirates University (UAEU), is seeking applications for a postdoctoral research position in the field of computational fluid dynamics. This position is supported by the “University Program for Advanced Research” (UPAR). We are looking for a very hard-working individual who is committed to outstanding research with genuine interest in “heat transfer and fluid flow”.
This appointment is made for 3 -6 months.
The major responsibilities include:
Developing mathematical models for “Heat Transfer and Fluid Flow”.
Determining the numerical solution of the mathematical models.
Reporting the obtained results.
Publishing papers in peer-reviewed journals and make presentations in conferences.
Minimum Qualification
MSc in mathematics.
Good experience in numerical methods for PDEs, numerical analysis, modelling and simulations.
Good experience with programming languages.
Good communication skills in English (oral and writing).
Preferred Qualification None
Division College of Science - (COS)
Department Mathematical Sciences - (COS)
Job Close Date 31-05-2023
Job Category Academic - Research Assistant
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
The Division of Science at New York University Abu Dhabi seeks to appoint two Post-Doctoral Associates, in the research group of Dr. Qingtao Chen. The proposed research will be interdisciplinary on the interactions between topology, geometry and physics. This research position is for two years with a possible extension to a third year.
The candidate must hold a Ph.D. in Mathematics or Physics. Preference will be given to people working on Quantum Invariants of knots/links as well as 3-manifolds (Volume Conjectures, Categorifications of invariants, Quantum Gravity, quantum 6j/10j symbols, topological quantum computing etc), Elliptic Genera/Topological Modular Forms/Elliptic Cohomology and Topology related to Condensed Matter Physics (quantum Hall effect etc). The successful candidate will have freedom in choosing his/her own research topic, but regular communication with the mathematical physics group at NYUAD is expected. NYU Abu Dhabi offers a stimulating research environment led by a distinguished research community. The terms of employment are very competitive. Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. However, all the applicants are strongly encouraged to submit the application before Mar. 30th, 2022 for the 1st position starting before July 31, 2022.
To be considered, all applicants must submit a cover letter summarizing research experience and specifying the interests in this position, a Curriculum Vitae (including a list of publications), a statement of research interests and at least 2 letters of recommendation all in PDF format. Inquiries can be directly sent to chenqtao@nyu.edu
About NYUAD
NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYUADs global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.
EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer
UAE Nationals are encouraged to apply.
Equal Employment Opportunity Statement
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.
Job Description
The United Arab Emirates University invites applications for a new faculty position of Assistant Professor in Data Science. Candidates should hold a Ph.D. in mathematics in relevant fields, such as optimization and the mathematical foundations of data science. Preference will be given to a candidate who has in-depth theoretical and practical knowledge in the areas including but not limited to artificial intelligence, machine learning, and/or natural language process. Candidates are expected to have a strong commitment to teaching excellence at undergraduate and graduate levels. They should have demonstrable research capabilities to develop and sustain an internally, and/or externally funded research program in Mathematics related to Data Science, and publish their research findings in top-tier referred journals. Candidates should also be willing to actively engage in promoting the growth of the UAE University. The Department views this position as a key step towards building UAE University into one of the top universities in the UAE for data science in undergraduate and graduate training, and in the interdisciplinary and applied research that will attract industrial partners. The application package should include a cover letter, a detailed resume, a brief description of teaching philosophy, a list of courses taught, and three recommendation letters including one at least for research and one for teaching. English is the language of instruction and communication. Screening of applications starts immediately and will continue until the position is filled.
Minimum Qualification
Applicants must have an earned doctorate in Mathematics. The ability to teach undergraduate courses related to Data Science is a must. Industrial and professional experience is a plus.
Preferred Qualification
Postdoctoral experience or teaching and research higher education institutions. Strong communication skills in English.
Expected Skills/Rank/Experience
Special Instructions to Applicant
Division College of Science - (COS)
Department Mathematical Sciences - (COS)
Job Close Date open until filled
Job Category Academic - Faculty
Job Description
The Department of Mathematics at United Arab Emirates University (UAEU) invites applications for a research assistant to study Fourier Series with respect to locally constant orthonormal system to work with Dr. Ushangi Goginava. According to the project objectives, the candidate should have knowledge in real analysis combined with methods of abstract harmonic analysis: Calderon-Zygmund singular integrals, theorems of interpolation and extrapolation, theory of trigonometric, Walsh and Vilenkin series, martingale transforms, ergodic theory, atomic decomposition of the Hardy spaces. Proficiency in English is required (written and oral).
The nominal start date is as soon as possible by 01th February , 2023.
The position is located at the UAEU’s main campus in Al Ain.
The application package should include a cover letter and a detailed resume.
Minimum Qualification
Master of Mathematics
Preferred Qualification
the candidate should have knowledge in real analysis combined with methods of abstract harmonic analysis: Calderon-Zygmund singular integrals, theorems of interpolation and extrapolation, theory of trigonometric, Walsh and Vilenkin series, martingale transforms, ergodic theory, atomic decomposition of the Hardy spaces
Division College of Science - (COS)
Department Mathematical Sciences - (COS)
Job Close Date 31-05-2023
Job Category Academic - Research Assistant
Salary 12000
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.