Paris Diderot University – Paris 7

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United Arab Emirates, Abu Dhabi

Description

Khalifa University is a leading academic institution dedicated to providing world-class education, research, and innovation. The Department of Computer Science within the College of Computing and Mathematical Sciences at Khalifa University covers a wide array of fields including information systems, computer and information security, software engineering, Internet of Things, embedded systems, computer vision, artificial intelligence, among others. The faculty members conduct cutting-edge research on a wide range of topics within these fields. The department provides Bachelor of Science degree in Computer Science, M.Sc. in Computer Science, and Ph.D. in ECE.

The department invites applications for two positions in the area of Artificial Intelligence at the rank of Assistant Professor. Research and teaching interests may include but are not limited to machine learning, reinforcement learning, multi-agent systems, natural language processing, and security and software engineering as it relates to Artificial Intelligence. Candidates with quantum computing background are also welcome to apply. 

Qualifications

A Ph.D. or equivalent degree in Computer Science, Artificial Intelligence or related disciplines from an accredited institution is required, along with a minimum of two years of experience. Preference will be given to candidates with education from and/or previous service in distinguished institutions of higher education. The successful candidates will join a vibrant and forward-thinking department with a focus on cutting-edge research and excellence in education. We are seeking Assistant Professors specializing in Artificial Intelligence to contribute to our academic mission. The candidates are expected to engage in high-impact research, teach undergraduate and graduate courses, mentor and advise students, fostering intellectual curiosity and research excellence and actively participate in the academic community.

Candidates should demonstrate expertise in fundamental Artificial Intelligence, have an established research reputation or outstanding research potential, strong publication record in top venues including leading Artificial Intelligence conferences and journals, the ability to attract external research funding, and a strong commitment to teaching at the undergraduate and graduate levels.

The candidate’s CV should include the following information, among others: Field of Specialization, Citation Data from Scopus and Scholar with links, Academic Qualifications, Academic Honors and Awards, Membership of Professional Bodies; Summary of Courses Taught, Participation in Academic Accreditation if any; Students Supervised by Level, Complete List of Publications, Research Grants Obtained; Membership of Conference Committees, Membership of Journal Editorial Boards, and Service as Reviewer.

We offer competitive remuneration, generous employment benefits, and access to funding to undertake research of relevance to the industry.

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).


Khalifa University

Competitive and commensurate with rank and experience

China, Suzhou

Department: Department of Electrical and Electronic Engineering, School of Advanced Technology
Position Title: Professor – Department of Electrical and Electronic Engineering
Location: Suzhou, China
Salary: Salary and benefits packages are competitive and commensurate with rank and experience.
Job ID: 2052

University Overview

Located in Suzhou, China, Xi’an Jiaotong-Liverpool University (XJTLU) is a young, dynamic and EMI university founded in 2006, and is a unique collaborative institution and first joint-venture university in China to offer both UK (University of Liverpool) and Chinese (Ministry of Education) accredited undergraduate degrees for more than 100 programmes. XJTLU also aims to become truly research-led and has committed significant investment into research development and the expansion of master’s and PhD student numbers on campus. The university has over 18,000 students and nearly 1000 academic staff representing in excess of 90 nationalities. For detailed information about the university, please visit www.xjtlu.edu.cn

Department Description

The School of Advanced Technology has five departments (intelligent Science, Computing, Mechatronics and Robotics, Electrical and Electronics Engineering and Communications and networking). As a research and practice-led school our faculty and staff are committed to providing our students with a challenging and stimulating environment, as well as unlocking their full potential. Upon graduation, students will become highly-sought-after candidates with strong academic knowledge as well as extensive transferable skills in communication, team-work and project management.

Responsibilities and Duties

The position of Professor is crucial to the effective operation of XJTLU. Departments are the fundamental building blocks of the university, and the Professor is the role model of academic staff. The Professor is reported directly to the Head of their department. The Professor is a key research leader, manager, and administrator. The term of appointment is three years.

Supporting its rapid expansion, SAT now seeks to appoint senior faculty to join the EEE department. This is an exciting opportunity for a senior academic and established researcher to become part of a young, fast-growing, and internationally recognized institution situated in the heart of one of China’s most innovative and entrepreneurial economic areas. XJTLU is a research-led university. In this context, even though the workload of faculty in SAT is generally shared between teaching, research, and service, faculty members are expected to spend the majority of their time on research, followed by teaching, then service. Research activities include the publication of research articles, attendance of international conferences, and applications for research funding. Research performance in the School is benchmarked on internationally recognized lists of journal quality such as the CAS JCR Q1 journals. 

Personal Attributes

The successful applicant is expected to have developed: 


	A motivation to mentor junior faculty, 
	A solid wide range of academic leadership skills, 
	Good interpersonal and communication skills. 


Essential Qualifications/Experience

The successful applicant is expected to have: 


	A PhD degree in Microelectronics, or Semiconductor Material Science & Engineering or integrated circuit design & manufacturing or a related field, 
	At least ten years of teaching/research experience in higher education, especially in the areas of electronic materials and devices, semiconductor fabrication or integrated circuit design 
	A significant record of academic publications in excellent international journals, 
	Supervised PhD students to completion, 
	A successful record of research funding acquisition


Desirable Qualifications/Experience

The successful applicant should preferably possess the following attributes: 


	Curriculum design and programme development experience, 
	Teaching and/or research interest in nanoelectronic materials and fabrication, microelectronic devices and circuits, and semiconductor science & technology
	Engagement with professional community, 
	Professional memberships such as IET, ACM, IEEE and HEA;
	Strong knowledge / experience in international higher education. Ideally hold the rank of Professor.


Compensation Package

Members of Academic Staff receive generous subsidies for accommodation, travel, children’s education, and medical insurance. A relocation allowance is provided. Non-Chinese passport holders may qualify for multi-year income tax “holidays”, depending on nationality and tax residency.

Citizenship and Visa Regulations

Employment at Xi’an Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas.  Please be advised candidates over 60 may be not eligible for a work visa in the P.R. China.

To Apply

Please submit your application on our university website. Applications must be submitted in a single pdf file that includes 3 parts in the order of:


	A cover letter 
	A current CV, including date of birth, country of citizenship, and highest degree level
	Contact Details for Three References 


For specific enquiries relating to the position, please email Dean of School Prof. Eng Gee Lim at enggee.lim@xjtlu.edu.cn. Informal enquiries may be addressed to HRBP of School of Advanced Technology at Mengyi.Wang@xjtlu.edu.cn. Please quote the position and job ID in your enquiry.


Xi'an Jiaotong-Liverpool University

Hong Kong

Ref.: 530850
Work type: Full-time
Department: Faculty of Education (10000)
Categories: Senior Research Staff & Post-doctoral Fellow

We now invite applications for the captioned post.

Duties and Responsibilities

The objective of this post is to offer interdisciplinary training to individuals interested in utilizing cognitive neuroscience and machine learning techniques to study learning, cognitive functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical learning and language processing, perform EEG data analyses, and neural computation and collaborate with in-house researchers on analyzing EEG and behavioral data.  Additionally, training will be provided on manuscript and grant writing.  He/She will work under the supervision of Professor Shelley Xiuli Tong.

Information about the Faculty, and the Speech, Language and Reading Lab can be obtained at https://web.edu.hku.hk/ and https://slrlab.edu.hku.hk/ respectively. Enquiries about the post should be sent to Professor Shelley Tong at xltong@hku.hk.

Requirements

Applicants should possess a Ph.D. degree in cognitive neuroscience, neural computation and machine learning, or a related field with a strong background in EEG, functional near-infrared spectroscopy (fNIRS), or computational modeling, as well as skills in programming with Python or MATLAB.  They are expected to be experts in time-frequency analysis of EEG data and building computational models using both behavioral and EEG data. In addition, they should have the ability to work independently and as part of a team, and the ability to prioritize and work under pressure.

What We Offer

The appointment will commence as soon as possible on a temporary basis for 19 months. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries.

How to Apply

The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload a cover letter, an up-to-date C.V. with a recent publication list and the contact information of three referees including one from their Ph.D. supervisor/advisor, and provide one sample of a representative research output.  Review of applications will start as soon as possible and continue until January 17, 2025, or until the post is filled, whichever is earlier.

The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency


The University of Hong Kong

Description

The Division of Science at New York University Abu Dhabi, seeks to recruit a Post-Doctoral Associate to work under the supervision of Dr. Marwa Banna on one or more of the following topics:


	Random matrix theory
	Free probability theory
	High-dimensional probability, concentration and functional inequalities
	Mathematical aspects of quantum information theory, machine learning and deep neural networks.


While excellent candidates with other research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics or Computer Science obtained within the last 5 years.

Applications will be accepted immediately and candidates will be considered until the position is filled. The anticipated starting date is January 1, 2025 and the successful applicant will be appointed until December 31, 2026.

The terms of employment are generous and internationally competitive, including housing and educational subsidies for children.

For consideration, applicants need to submit in PDF format:


	Cover letter
	Transcript of PhD degree
	Curriculum vitae
	A short summary of research accomplishments and interests
	List of publications with a few words of the contribution of each paper
	At least two letters of recommendation to be sent confidentially via Interfolio.


Applications are only accepted through Interfolio. This position is not located in the United States of America. You must be willing to relocate to Abu Dhabi, United Arab Emirates.

If you have any questions, please email: marwa.banna@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

qual 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.


New York University Abu Dhabi Corporation

School: School of Internet of Things, XJTLU Entrepreneur College (Taicang)
Academic Position: Professor
Admin Role: Dean, School of Internet of Things
Report to: Team Leader, Collective Leadership Team, XJTLU Entrepreneur College (Taicang)
Academic Disciplines: IoT, Computer Science, Networking and Communications, System Engineering, Electronics, Data Science
Location: Taicang, Greater Suzhou, China

ABOUT XJTLU

In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has around 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. There are currently about 2,200 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east.

For detailed information about the university, please visit www.xjtlu.edu.cn

ABOUT ENTREPRENEUR COLLEGE (TAICANG)

In 2019, the XJTLU Entrepreneur College (Taicang) was launched, as a pioneers of, and an educational model for, the future university and campus in developing talents and leaders to meet local, national, and global challenges arising from the 4th Industrial Revolution. Developed in collaboration with the Taicang Municipal Government and industry partners, the XJTLU Entrepreneur College (Taicang) moved to the university’s newly opened award winning Taicang campus, within Greater Suzhou, in September 2022. As a result, there are opportunities at all levels for innovative academics in the fields represented by the following schools and education platforms.

For detailed information about the XJTLU Entrepreneur College (Taicang), please visit:

https://www.xjtlu.edu.cn/en/study/departments/entrepreneur-college-taicang/

ABOUT THE SCHOOL OF INTERNET OF THINGS

The School of Internet of Things is one of the 7 industry-themed Schools in the XJTLU Entrepreneur College (Taicang). Each School consists of an Education, Research and Development Institute (“ERDI”) for teaching and university-business research collaboration, a professional services centre supporting daily activities of students, staff, and business partners, and a School Affiliated Company jointly established by XJTLU and the School’s industry partner for practical on-the-job learning and teaching. 

Industry Partner Overview

The School of Internet of Things has been jointly developed by the University and one of its industry partner – Eolane China, to deliver industry-themed programme(s).

Eolane Group is a leading French professional in electronic manufacturing services and original design manufacturing services, focusing on industrial control, medical, automotive, new energy, railway, defence, aerospace, IoT and other industrial fields. For more information please see http://www.eolane.cn/

POSITION OVERVIEW AND RESPONSIBILITIES

An XJTLU Dean is the head of a school on the Taicang Campus at XJTLU and is crucial to its effective operation. The Dean provides leadership and support to the strategic development of the School. The Dean is the key representative role for the School within the university and externally. The Dean is a member of the extended XJTLU Senior Management Team. The Dean reports to the Team Leader, XEC Collective Leadership Team, XJTLU Entrepreneur College (Taicang) for the operation of the School. The initial term of appointment is three years. We are looking for an academic leader from candidates in the fields of IoT, computer science, networking and communications, systems engineering, electronics, data science. The Dean will be responsible for: 

Leadership


	Provide leadership and oversight to the School and leads the School’s Management Team.
	Act as a full member of the XEC Collective Leadership Team, Deans’ Advisory Group and Academic Board.
	Lead the School strategic planning process, with the support of the School Management Team. 
	Ensure teaching, research, and industry engagement activities within the School are adequate to fulfil its mission and vision, and maintain the international accreditation currently held.
	Develop the School’s external engagement, grow collaborations with companies and other non-academic organisations, representing the School both domestically and internationally. This ambassadorial function contributes to the increased reputation and standing of the School.
	Provide executive-level strategic advice, briefings, and support to the leadership team, industry partners for innovation, knowledge exploitation, incubation and acceleration, and serve on a range of institutional committees and groups. 
	Provide leadership, guidance and input into business engagement by driving business growth by identifying opportunities, tracking new markets, and building sustainable client relationships.
	Keep under regular review the key strategic risks and opportunities, internal and external stakeholders relating to the campus strategic plan and the University’s priorities. 
	Provides support for the University leadership agenda, and acts to ensure a synergistic collaboration between the School and the rests of the University.


Administration


	Oversee all management and functional activities within the School. 
	Take action on specific administrative tasks assigned by the university. These include service on committees and working parties; as chair of review panels and etc.
	Specific responsible within the School for: Strategic and annual planning; Work allocation of the senior management staff; Budget development; School-level staff appointments; Staff Professional Development Reviews and processes.


Management


	The Dean line manages all academic staff.
	Ensure staff carry out their duties professionally, effectively, and at the highest standard possible. Management entails talking and communicating with people, providing support to them in their work, ensuring direction and providing useful and meaningful feedback to enable School work to be successfully completed. 
	Effectively manage the progress of the Annual Performance Review and Academic Promotion at School-level.


Key relationships


	The Dean is responsible for the School and reports to the Team Leader, XEC Collective Leadership Team, XJTLU Entrepreneur College (Taicang). 
	The Dean works closely with the Associate Vice-Presidents for Learning and Teaching and Research and Impact to ensure the ongoing development of the portfolio of degree programmes, research outputs, and international activities.
	The Dean works closely with COO for XEC, other Deans in XEC, and the Director of the Centre for Academic Affairs who acts to support the academic work of each department.
	The Dean works closely with the Director of ERDI (Education, Research and Development Institute) in the School and the School Manager to ensure the development of research synergies, provision of administrative services and economies of scale, and activities to raise the profile of the School.
	The Dean works closely with other Deans in the University, especially through the Deans’ Advisory Group which focuses on the strategic development of academic units and of academic staff.
	The Dean works closely with Heads of Department in the University, especially through issues raised through the Deans’ Advisory Group, which is the key forum in the university for the discussion of operational academic affairs.
	The Dean works closely with the XEC’s Chair of the Syntegrative Education Committee.
	The Dean is leader and mentor to all staff in the School, especially for managers at the School level.


Responsibilities


	The Dean is responsible to the Team Leader, XEC Collective Leadership Team, XJTLU Entrepreneur College (Taicang) for the academic development of the School. This includes lead on the development and implementation of appropriate academic programmes at undergraduate, postgraduate taught and research levels.
	The Dean is responsible for the regular assessment of teaching and research outcomes, and works with relevant administrative departments for the improvement of teaching and research outcomes.
	The Dean is responsible for ensuring the application of all university policies and regulations by members of staff in the School.
	The Dean is responsible for ensuring adherence to the laws and directives of the People’s Republic of China by staff in the School.


Personal Attributes

The School of Internet of Things is adopting a new higher education model based upon the concept of Syntegrative Education (SE). SE is a new model developed by the University to address an increasingly networked and complex future of work in the 4th Industrial Revolution. The model is core to the University’s strategy for its next ten-year development focusing on innovation and entrepreneurship. SE aims to train syntegrative leaders with Management skills, International perspective, Discipline-specific knowledge, and adaptability in Industry (MIDI). 

The position will attract academic leaders embodying these SE values and are passionate in engaging in a future-focused co-learning ecosystem comprising students, academics, practitioners, university, industry, and community. The School seeks a visionary leader who thrive by creating impact through authentic engagement, cross-boundary collaboration, collective learning and discovery, and action-oriented inquiries. The Dean is also a creative educator who adopts a systems mindset and use their knowledge, skills, and experiences to co-design and deliver an enriching educational experience for students. They view education as an integrative and life-long transformative process.

The candidate should have the:


	Ability to proactively seek and respond to issues with flexible, effective and, where appropriate, innovative solutions. 
	Ability to prioritise, take and implement decisions to achieve agreed objectives.
	Ability to contribute to the strategic development of the University.
	Ability to lead and develop academic staff and mentorship skills with the ability to coach colleagues. 
	The ability to interact effectively with a range of stakeholders, including staff at all levels, students, and external organisations by possessing highly developed interpersonal and communication skills.


REQUIRED QUALIFICATIONS/EXPERIENCES


	Candidates must be a PhD holder in Internet of Things or other related subjects from a world-renowned university or be able to demonstrate an equivalent professional practice and engagement.
	Candidates must be willing/able to actively engage with new educational models such as Syntegrative Education (SE).
	Candidates shall become familiar with and observe Chinese and UK rules and regulations of higher education. 
	Candidates shall have management experience with good people skills and have the ability or experience to form or develop a new academic unit.
	Candidates must have an international reputation and demonstrate impacts in relevant research fields and are expected to have a good sense of the technology trends and relevant research experience on industrial projects. Candidates should have experience to cooperate with industrial partners to develop R&D projects.
	Candidates must have rich experience in research, academic leadership, financial management, strategic planning, people management, as well as senior academic management experience in a university, research institution or similar functions/areas.
	Candidates must demonstrate a good track record of engagement with students and industry. 
	Candidates must have a high level of communicative competence in English; an equivalent knowledge of Chinese would be an advantage.
	Candidates with administration and management experience in international universities or Sino-foreign joint universities are preferred. 
	Some experience of working in a relevant industry would be an advantage.
	Outstanding organisational skills, and ability to prioritise at individual and team levels, to be sensitive to the pressures facing other groups and individuals and to work to deadlines and under pressure.


CITIZENSHIP AND VISA REGULATIONS

Employment at Xi’an Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas.  Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China.

Career Development


	Clear career development path with annual review.
	Professional development training are provided.


Compensation & Benefits

SALARY: Competitive salary in the market

BENEFITS


	Allowance: XJTLU provide various month/annual/one-off allowances as
	
		Housing allowance
		Travel allowance
		Education allowance
		Relocation allowance
		Etc.
	
	
	Commercial insurance: international insurance plans customized for XJTLU staff and family members. (details refer to the University Policy)
	Paid holidays:
	
		Statutory Holidays (11 days)
		Annual leave(36days, including University closing days).
		Paid Sick Leave
		Marriage Leave
		Paternity Leave
		Parental Leave
		Etc.
	
	
	Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff.  


HOW TO APPLY

Please send your application online:

https://career15.sapsf.cn/sfcareer/jobreqcareer?jobId=3786&company=xjtlu

Applications must be submitted in PDF that includes 3 parts in the order of:


	An extended cover letter
	A current CV, including date of birth, country of citizenship, current location, and highest degree level
	Contact details for three references  Applications should be received by the closing date stated above.  


For specific enquiries relating to the position, please Dr Xiaojun Zhang, Team Leader, XEC Collective Leadership Team, XJTLU Entrepreneur College (Taicang) by email on Xiaojun.Zhang@xjtlu.edu.cn. Informal enquiries may be addressed to Ms Mingyu Yuan, HRBP at Mingyu.Yuan@xjtlu.edu.cn. 


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A breakdown of student statistics at Paris Diderot University – Paris 7

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Paris Diderot University – Paris 7

Rankings

World University Rankings 2019=194^th

Arts and Humanities 2019176-200^th

Clinical and Health 2019151-175^th

Computer Science 2019201-250^th

Engineering 2018251-300^th

Life Sciences 2019201-250^th

Physical Sciences 2019=92^nd

Psychology 2019301-400^th

Social Sciences 2019401-500^th

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Paris Diderot University – Paris 7

Rankings

Arts and Humanities 2019176-200th

Clinical and Health 2019151-175th

Computer Science 2019201-250th

Engineering 2018251-300th

Life Sciences 2019201-250th

Physical Sciences 2019=92nd

Psychology 2019301-400th

Social Sciences 2019401-500th

Discover similar universities

Key Student Statistics

Arts and Humanities 2019176-200^th

Clinical and Health 2019151-175^th

Computer Science 2019201-250^th

Engineering 2018251-300^th

Life Sciences 2019201-250^th

Physical Sciences 2019=92^nd

Psychology 2019301-400^th

Social Sciences 2019401-500^th