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Internship, MS / PhD, PhD, Postdoc and Research Scientist Position

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. 

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Assistant Professor in Mechanical and Aerospace Engineering, Dynamics and Control or Astrodynamics

Job Description


The Mechanical and Aerospace Engineering Department at the United Arab Emirates University invites applicants for a faculty position in the areas of Dynamics and Control or Astrodynamics. Qualified candidates at all levels will be considered at a rank commensurate with academic accomplishments. Candidates are expected to have a strong commitment to teaching excellence and student advising at the undergraduate and graduate levels, a demonstrable research capability that will enable the candidate to develop and sustain an internally and/or externally funded research program in his/her area of expertise, publish his/her research findings in refereed journals, and actively engage in promoting the growth of the UAE University. The application package should include a cover letter, a detailed resume, a brief description of current/future research activities, teaching philosophy, and courses taught. English is the language of instruction and communication. Screening of applications will continue until the position is filled.


Minimum Qualification


Applicants must have an earned doctorate in one of the announced areas (Dynamics and Control or Astrodynamics) from a reputable western university. The ability to teach undergraduate courses is a must. The applicant must have proven teaching experience in the following subjects within the both the Mechanical or Aerospace Engineering Programs: Flight Dynamics and Control, Space Systems Design, Astrodynamics and Attitude Dynamics and Control. Industrial and professional experience is a plus.


Preferred Qualification


Ph.D in related fields from an internationally recognized University and proven record of publication in top-ranked journals and relevant teaching experience at the undergraduate and graduate levels. Experience in aerospace materials and participation in industrial projects are preferred.


Division College of Engineering - (COE)

Department Mechanical & Aerospace Eng.-(COE)

Job Close Date open until filled

Job Category Academic - Faculty

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Assistant / Associate Professor, Aerospace Dynamics and Control

Job Description


The Department of Mechanical Engineering at the United Arab Emirates University invites applications for a faculty position at the assistant or associate professor level beginning Fall 2020 (or Spring 2020). The area of interest is aerospace dynamics and control. Candidates must have a PhD in Mechanical or Aerospace Engineering from a highly ranked institution. The selected candidate should have significant research contributions, will be able to attract competitive external research funding, and will have the potentials for quality teaching at both the undergraduate and graduate levels in mechanical / aerospace engineering. The candidate will be expected to conduct research and to teach undergraduate and graduate courses in the following areas: aerospace control, aerospace dynamic system modeling and simulation and mechanical vibrations.


Minimum Qualification


Applicants must have an earned doctorate in a topic related to aerospace dynamics and control. The ability to teach undergraduate courses is a must. Industrial and professional experience is a plus.


Preferred Qualification


The preferred candidate should have a teaching experience in the field of aerospace dynamics and control, and preferably can also teach mechatronics, robotics and automation and have an excellent publications in reputed international journals.


Expected Skills/Rank/Experience


Experience in aerospace dynamics, control, while experience in mechatronics and, robotics, is preferable


Special Instructions to Applicant


Applications should consist of letter of intent, a current CV, a statement of teaching philosophy and interest & evidence of teaching effectiveness.


Division College of Engineering - (COE)

Department Mechanical Engineering - (COE)

Job Close Date open until filled

Job Category Academic - Faculty


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Instructional Faculty, The Computer, Electrical, and Mathematical Sciences and Engineering Division

Description


The Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at King Abdullah University of Science and Technology (KAUST) invites applications for an Instructional Faculty opening in the area of Computer Engineering. Particular areas of interest are introductory programming, computer architecture, embedded systems, cyber-physical systems and their applications, data structures, software engineering, operating systems, machine learning, artificial intelligence, cyber-security, networks and algorithms.


Qualifications


Applicants for the position must have a Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or related field. Ideal candidates will have a track-record of excellence in teaching and student mentorship at the undergraduate and graduate level.


Instructional faculty are expected to teach multiple courses per year, possibly with multiple offerings of the same course per year. Instructional Faculty are primarily responsible for teaching remedial and developmental courses. In addition to teaching responsibilities, Instructional Faculty will have professional and administrative responsibilities such as, mentoring students, designing courses, proctoring placement and admissions tests or qualifying exams, sitting on divisional committees, or any combination of the foregoing.


KAUST is committed to maintaining a diverse faculty body and encourages applications from women faculty candidates. Because of the high volume of applications we receive, only applications submitted through the online system will be considered. Applications will be evaluated as soon as they are received, and will receive full consideration until the position is filled.


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 eastern 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, research activities, and community life are available at:


http://www.kaust.edu.sa


The CEMSE division at KAUST is recognized for its vibrant research programs and collaborative environment supported by KAUST’s international research collaboration network and KAUST’s advanced research facilities such as the Nanofabrication, the Imaging and Characterization, and the Supercomputing Core Facilities. More information is available at:


https://cemse.kaust.edu.sa


https://cemse.kaust.edu.sa/ece


https://cemse.kaust.edu.sa/cs


Application Instructions


Required information includes:


A complete curriculum vitae

Reflective Teaching Statement

Teaching Evaluations, where applicable

Other Evidence Documents (e.g. peer review of your teaching, awards, course syllabi)

The names and contact information for at least 3 (preferably 5) references

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Dean of Engineering

Dean of Engineering


Sohar University is a modern and progressive institution meeting the needs of contemporary society and contributing to the economic and cultural wellbeing of Oman and our international neighbours . We are located on world class campus only 2 hours from Muscat & Dubai. We seek to appoint innovative, committed and ambitious academic staff who share our vision for quality higher education.


Essential Qualifications/Experience


A recognized doctorate with evidence of teaching skills and experience.

Demonstrated research achievement.

Excellent proficiency in English.

Quality communication and effective teamwork skills.

The candidate should have suitable qualifications and Admin and

Academic Experience related to the majors the institutions offer.


The candidate’s Academic Rank should not be less than Associate Professor

The candidate should have at least three years of admin experience in the same position field from a University or College.

Omani candidates can have exception from the years of experience after Ministry approval.

Compensation Package


Attractive salary commensurate with qualifications/experience + housing and transportation allowance.

Medical insurance for Omanis staff (grant for staff only).

Medical insurance for staff, spouse and 2 children under 18 living in Oman for non-Omanis.

Two year contract renewable subject to mutual agreement between the two parties (for non Omani candidates).

Seven weeks paid annual leave and return air travel for staff, spouse and 2 children under age of 18 years to country of origin.

End of contract gratuity (for non-Omani candidate).

PLEASE APPLY TO THE JOBS THROUGH THE LINK www.su.edu.om/jobs

FOR FURTHER INFORMATION, PLEASE VISIT THE UNIVERSITY WEBSITE: www.su.edu.om


CLOSING DATE: 07 August 2022

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Assistant / Associate / Full Professor in Cybersecurity and Dependability 2022

Job Description


The Computer Science program in the Computer, Electrical and Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST) invites applications for multiple faculty positions at all levels (Full, Associate, and Assistant Professor) in the broad areas of Cybersecurity and Dependability.


These openings are in context with the recently created Resilient Computing and Cybersecurity Center (RC3). The RC3 center aims at developing the emerging area of Resilient Computing in symbiosis with classical Cybersecurity paradigms, fulfilling the innovative vision – followed by an increasing number of stakeholders – that “Resilience is the Cybersecurity of the XXI century”.


About KAUST


KAUST is an international, graduate-only research university with researchers from over 100 nationalities, located on the shores of the Red Sea in Saudi Arabia less than an hour drive north of Jeddah. KAUST offers outstanding research facilities, internationally competitive salaries, and generous research funding from KAUST as well as other funding opportunities through industry collaborations. KAUST attracts top international faculty, scientists, engineers and students to conduct curiosity-driven and goal-oriented research to address the world’s pressing scientific and technological challenges.


KAUST has an award-winning campus to live, work, study and play that is designed to inspire and motivate students, employees and their families to maintain an active lifestyle. The community members enjoy elementary and secondary schools, health clinic, on-demand as well as scheduled transportations, thematic community clubs, as well as several fitness and outdoor sports installations including sea-faring sports. On the cultural and leisure side, KAUST fosters the arts with a performance theater for concerts and plays as well as a movie theater, besides numerous dining options and the Red Sea just steps away, information may be found here.


As result of very effective measures, including the involvement of its researchers, the COVID-19 pandemic has so far barely affected the KAUST campus-city.


Qualifications


We welcome candidates with a PhD in Computer Science and/or Engineering, Informatics, or related areas, with a strong background in the theory and practice of one or more of : Security/Privacy and/or Dependability/Fault-Tolerance of Distributed Systems and Networks and/or Real-Time and Embedded Systems.


We expect documented experience about systems knowledge of one or more of: cloud/Internet computing and communication; peer-to-peer (P2P) infrastructures; blockchain and ledger technology; cyber-physical and Internet-of-Things systems (CPS, IoT); software-defined and/or vehicular networking (SDN, VN); digital health technologies.


We consider as an advantage – all relevant research sub-areas of the above being contemplated – documented research experience in design, verification, and/or evaluation, in the following sub-areas: dependable and/or secure distributed systems and networks; trusted computing and execution environments; threat and intrusion detection/prevention systems; dependable and/or secure distributed blockchain and ledger systems; privacy of biomedical, financial or social data.


Applicants should show exceptional research merit, including strong publication record in top-tier conferences and journals, as well as research projects experience. Women are strongly encouraged to apply. High priority will be given to the overall originality and promise of the candidate’s work proposal. We consider as an advantage, track record – according to the candidate’s career experience – in team leading, mentoring PhD candidates, research project definition and management, graduate-level teaching, research collaboration with industrial partners. Senior candidates must have demonstrated strong leadership and reputation in their field. A successful candidate will be expected to teach courses at graduate level, build and lead a research group of postdoctoral fellows and graduate students.


Application Instructions


How to Apply


Please complete the Interfolio application form and upload the following materials:


Complete curriculum vitae, contact address, with a list of projects, publications, and other achievements, as well as clear evidence of documented experience in the research areas and sub-areas requested above.

A research plan, in context with the strategic lines of the RC3 center.

A statement of teaching interests.

The names and contact information for at least 3 references.

For more information, please contact:


Prof. Paulo Esteves-Veríssimo


via email at: cybersec-jobs@kaust.edu.sa , Subject: CYBERSECURITY - FACULTY APPLICATIONS.


Due to the high volume of applications that we receive, only applications submitted through the online Interfolio form will be considered. Please refer to the interfolio links at RC3-Apply.


Applications will be received and evaluated through rolling cut-off date periods (please see below) until all positions are filled. The review committee will put the best effort to inform all applicants of the status of their applications, within a reasonable delay after each cut-off date. 


Next cut-off date for applications: October 3, 2022.


Please click on the "Apply Now" button to submit your application.

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Instructional Faculty, The Computer, Electrical, and Mathematical Sciences and Engineering Division

Description

The Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at King Abdullah University of Science and Technology (KAUST) invites applications for an Instructional Faculty opening in the area of Computer Engineering. Particular areas of interest are introductory programming, computer architecture, embedded systems, cyber-physical systems and their applications, data structures, software engineering, operating systems, machine learning, artificial intelligence, cyber-security, networks and algorithms.

Qualifications

Applicants for the position must have a Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or related field. Ideal candidates will have a track-record of excellence in teaching and student mentorship at the undergraduate and graduate level.

Instructional faculty are expected to teach multiple courses per year, possibly with multiple offerings of the same course per year. Instructional Faculty are primarily responsible for teaching remedial and developmental courses. In addition to teaching responsibilities, Instructional Faculty will have professional and administrative responsibilities such as, mentoring students, designing courses, proctoring placement and admissions tests or qualifying exams, sitting on divisional committees, or any combination of the foregoing.

KAUST is committed to maintaining a diverse faculty body and encourages applications from women faculty candidates. Because of the high volume of applications we receive, only applications submitted through the online system will be considered. Applications will be evaluated as soon as they are received, and will receive full consideration until the position is filled.

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 eastern 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, research activities, and community life are available at:

http://www.kaust.edu.sa

The CEMSE division at KAUST is recognized for its vibrant research programs and collaborative environment supported by KAUST’s international research collaboration network and KAUST’s advanced research facilities such as the Nanofabrication, the Imaging and Characterization, and the Supercomputing Core Facilities. More information is available at:

https://cemse.kaust.edu.sa

https://cemse.kaust.edu.sa/ece

https://cemse.kaust.edu.sa/cs

Application Instructions

Required information includes:

  • A complete curriculum vitae
  • Reflective Teaching Statement
  • Teaching Evaluations, where applicable
  • Other Evidence Documents (e.g. peer review of your teaching, awards, course syllabi)
  • The names and contact information for at least 3 (preferably 5) references
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Post Doctoral Fellow

Job Purpose


To undertake high quality research support aimed at producing high‐quality models and publications, thereby contributing to the academic and research mission of the University.

To acquire, with guidance from the advisor, the varied skills necessary to advance capabilities toward an academic and/or research career. These skills include, but are not limited to, the ability to present research plans and findings in a convincing style, both in oral and written modes of communication, the ability to undertake research group management and supervision of others, the ability to establish contacts and networks with colleagues pursuing a similar research agenda, the ability to organize and teach a class or a course, if inclined towards an academic career.

Key Roles & Responsibilities


Strategic Responsibilities


NA


Operational Responsibilities


Develop, evaluate and optimize strategies and scenarios for a national or sub‐national future sustainable low‐carbon energy system. 

Conduct literature reviews on techno‐socio‐economic‐environmental and policy models and systems that integrate low‐carbon energy conversion, storage, and distribution technologies across the power, building, transportation and industrial sectors.

Construct and validate energy, economic and environmental models of low‐carbon energy systems, using energy system planning and analysis software.  

Evaluate energy system strategies/scenarios using developed energy system models, coupled with appropriate energy, economic, and environmental metrics.

Review and evaluate existing energy‐related policies from a holistic, multi‐energy/sector energy system perspective, focusing on barriers and enablers to implementing current and planned energy policy measures.

Assess social and political perspectives on the deployment of low‐carbon energy technologies within specified contexts.

Propose policy tools for government decision makers, energy providers and users that can support the establishment of a low‐carbon energy system.

Integrate techno‐socio‐economic‐environmental and policy analyses for a complete narrative regarding the establishment of a low‐carbon energy system, focusing on integration of appropriate low‐carbon technologies.

Qualifications


Qualifications & Experience


Required Qualifications


PhD Degree in energy engineering, mechanical, electrical, or related engineering field.

Required Experience


Good engineering background/experience in energy engineering including smart, multi‐sector energy system planning, modeling and analysis. 

Desired experience in the use of energy system modeling tools (e.g., EnergyPlan, Plexos, LEAP) to explore integration of technologies in the following areas: renewable and sustainable energy generation/conversion, energy storage, energy distribution, waste energy utilization.

Demonstrated ability to work independently, without direct supervision, and team player skills.

Excellent written and verbal communications skills.

Good research achievements including publications in reputed academic engineering/scientific journals.

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 : KUK – Khalifa University

Job : Post Doctoral Fellow

Schedule : Regular

Shift : Standard

Job Type : Full-time

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Instructional Faculty, The Computer, Electrical, and Mathematical Sciences and Engineering Division

Description


The Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at King Abdullah University of Science and Technology (KAUST) invites applications for an Instructional Faculty opening in the area of Computer Engineering. Particular areas of interest are introductory programming, computer architecture, embedded systems, cyber-physical systems and their applications, data structures, software engineering, operating systems, machine learning, artificial intelligence, cyber-security, networks and algorithms.


Qualifications


Applicants for the position must have a Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or related field. Ideal candidates will have a track-record of excellence in teaching and student mentorship at the undergraduate and graduate level.


Instructional faculty are expected to teach multiple courses per year, possibly with multiple offerings of the same course per year. Instructional Faculty are primarily responsible for teaching remedial and developmental courses. In addition to teaching responsibilities, Instructional Faculty will have professional and administrative responsibilities such as, mentoring students, designing courses, proctoring placement and admissions tests or qualifying exams, sitting on divisional committees, or any combination of the foregoing.


KAUST is committed to maintaining a diverse faculty body and encourages applications from women faculty candidates. Because of the high volume of applications we receive, only applications submitted through the online system will be considered. Applications will be evaluated as soon as they are received, and will receive full consideration until the position is filled.


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 eastern 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, research activities, and community life are available at:


http://www.kaust.edu.sa


The CEMSE division at KAUST is recognized for its vibrant research programs and collaborative environment supported by KAUST’s international research collaboration network and KAUST’s advanced research facilities such as the Nanofabrication, the Imaging and Characterization, and the Supercomputing Core Facilities. More information is available at:


https://cemse.kaust.edu.sa


https://cemse.kaust.edu.sa/ece


https://cemse.kaust.edu.sa/cs


Application Instructions


Required information includes:


A complete curriculum vitae

Reflective Teaching Statement

Teaching Evaluations, where applicable

Other Evidence Documents (e.g. peer review of your teaching, awards, course syllabi)

The names and contact information for at least 3 (preferably 5) references

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Research Associate in Computer Science

Description

Job Purpose

  • Software Engineer to provide software design, implementation, testing, and maintenance of algorithms prototyped by robotics researchers.
  • The focus would be on maintaining quality code base that can serve the integration of multiple research results from a multidisciplinary robotics research team.
  • Manage common code bases, computing resources, and embedded systems that are used by a variety of researchers and students at all levels utilizing best practices in the field.
  • Train research staff and students on the use of maintained code, latest technologies, and best practices in the software industry. Keep code base documented to the highest standards.
  • Provide high quality research support and undertake internationally competitive research aimed at publication thereby contributing to the academic and research mission of the University.
  • Khalifa University offers a uniquely collaborative scientific research environment and outstanding research facilities. You will have the opportunity to initiate and lead projects and work in interdisciplinary teams.

Key Roles & Responsibilities

Strategic Responsibilities

NA

Operational Responsibilities

To maintain and contribute to the development of multiple code bases written in C++, Python, and MATLAB. The code runs on physical robotics hardware, as well as simulation. Many researchers improve on existing algorithms, and contribute to the existing code base. Such evolution of the code base needs to be managed properly to maintain quality such that it is accessable to human coders, portable across platforms, and ready to keep evolving.

In summary, it is expected that the candidate would work on the following tasks:

  1. Understand program logic, and robotic context to be able to reason about software architecture.
  2. Integrate and test custom robot control code written by engineers and scientists who develop algorithms in C++/Python.
  3. Migrate existing code to a variety of computer hardware.
  4. To frequently upgrade code base to the latest robotics hardware while ensuring smooth transition with minimal impact on research activities.
  5. Run machine learning algorithms on high performance computers using common machine learning packages like TensorFlow and Keras.
  6. Write experimental procedure and validate developed algorithms practically.

As the code base evolves, and the research results mature, it is expected that the candidate would:

  1. Develop UI dashboards to be interfaced with robots.
  2. Expose algorithms to other international researchers through RESTful API or similar mechanisms for reproduction of results.

Supervisory Responsibilities

NA

Qualifications

Qualifications & Experience

Required Qualifications

BSc Degree in Computer Science or Engineering. MSc Degree in Computer Science or Engineering is preferred.

Required Experience

  • Must Have:
    • Demonstrated experience with development for Linux using C++.
    • Demonstrated experience in the design, development, and testing of computer software using the object-oriented paradigm adhering to clean code best practices.
    • Demonstrated experience in writing software for embedded systems with RTOS.
    • Experience with Linux CLI, Git, OS concepts, parallel programming, networking, database concepts, and data encoding/decoding is a requirement.
  • Good to Have:
    • Experience in computer algorithms.
    • Experience with software testing.
    • Experience with machine learning packages like tensorflow or keras.
    • Experience in ROS.
    • Experience with electromechanical prototyping of robots.

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: KUK – Khalifa University
Job: Research Associate
Schedule: Regular
Shift: Standard
Job Type: Full-time

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