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Aga Khan University

Aga Khan University was founded in 1983 as Pakistan’s first private university. In 2000, the university began expanding its campuses to Kenya, Tanzania, Uganda, Afghanistan and the UK.
Beginning as a health sciences university, Aga Khan University is among the largest healthcare providers in Pakistan and East Africa with their research influencing health policy and practice all over the world. The university has developed its programme offering to include teacher education, Muslim civilisations, journalism, early childhood development and public policy. 
There are over 20 student societies and clubs which include theatre, literary arts, surgery interest and the class representatives committee. 
On its Pakistan campuses, the university offers an abundance of facilities and resources to its students including an audio-visual and learning centre, clinical setting rooms for problem-based learning, as well as the Aga Khan University Hospital.

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?44,355 - ?51,735 per annum, including London Weighting Allowance

United Kingdom, London

About us

The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models,? graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge representation, knowledge engineering, linked data.

About the role

The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but also process blueprints and guidance for knowledge engineers to use generative AI tools productively.?

The post holder will work closely with Prof Elena Simperl and Dr Albert Mero?o Pe?uela and a team of 15+ researchers and PhD students in the area of knowledge graphs. The role covers research in the areas mentioned above, as well as the production of scientific publications and application showcases to drive research impact. The researcher will also be expected to support the organisation of impact creation activities, including hackathons, workshops, tutorials, and community meetups. The research outputs will inform work undertaken in the group in several large collaborative grants and application areas, including cultural heritage, enterprise data management, and legal compliance.

The ideal candidate will have solid expertise in the technical areas mentioned earlier, as well as a proven track record of scientific excellence (through publications in A and A* conferences and journals) and of open science and FAIR practices (through software, datasets and other research outputs, participation in challenges etc). Familiarity with knowledge engineering methodologies and with semantic technologies, in theory and practice, is a firm requirement.?

The post is full-time (35 hours per week), offered on a fixed term contract for 18 months. We can discuss part-time options in exceptional circumstances. There is also the option to extend the contract beyond the 18 months provided funding is available.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria


	PhD in computer science, AI or related area
	Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS, OWL
	Proven experience with predictive and generative AI
	Practical experience in using large language models, generative AI techniques, prompt engineering
	Proven record of A/A* scientific publications and open science/FAIR practices
	Teamwork skills demonstrated e.g. through project work, organization of joint events, co-authored papers etc.
	Time management and organisational skills, including experience in organizing small scientific workshops and similar


Desirable criteria


	Familiarity with the design of AI enabled tools, AI assistants, and agentic AI
	Familiarity and contributions to Wikipedia and/or Wikidata
	Familiarity with one or more of these application domains for neuro-symbolic AI: law, cultural heritage, enterprise data management
	Track record of organising dissemination and community building events e.g. workshops or tutorials co-located with academic conferences


Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

*?Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘?How we Recruit’ pages.

Grade and Salary:??44,355 - ?51,735 per annum, including London Weighting Allowance
Job ID:?116389
Close Date:?30-Jun-2025
Contact Person:?Elena Simperl
Contact Details:?Elena.simperl@kcl.ac.uk


King's College London

United Arab Emirates, Abu Dhabi

Description

Are you passionate about interdisciplinary research, digital innovation, and building technology that improves urban living? The Center for Interacting Urban Networks (CITIES) at NYU Abu Dhabi is seeking a motivated and skilled Research Assistant to help drive the next generation of urban research and community-focused innovation in the UAE.

About the Role

As a Research Assistant, you will support cutting-edge projects in urban science, computational social science, and usability research. You’ll work closely with our team of Principal Investigators (PIs) to design and implement data-driven systems, conduct advanced analyses, and promote sustainable and equitable urban living through digital tools such as CITIESair and the CITIES Dashboard. You’ll also play a key role in community outreach, engaging with stakeholders across academia, public institutions, and local communities.

What You’ll Do


	Enhance and expand CITIES Digital Initiatives (CITIESair and CITIES Dashboard)
	Build user interfaces and web/mobile applications for academic research
	Conduct usability testing, data analysis, and visualization for interdisciplinary studies
	Coordinate with local and regional partners, including schools, government bodies, and NGOs
	Collaborate with other NYUAD research centers on projects related to sustainability and digitalization
	Mentor undergraduate student assistants and support research fellows
	Organize workshops, community events, and help publicize CITIES' research.


What We’re Looking For

Required:


	Master’s degree in Computer Science or Software Engineering
	Strong programming skills in web and mobile development (e.g., HTML, JavaScript, React)
	Experience with Internet-of-Things (IoT), especially air quality sensor networks
	Data analysis and visualization skills (Python, R, Google Charts, etc.)
	Familiarity with both qualitative and quantitative research methods
	Excellent communication and stakeholder engagement skills


Preferred:


	Training in smart cities or software-enabled sustainability
	Knowledge of WordPress and experience managing student assistants
	Background in community-focused research or civic tech


Why Join CITIES?

CITIES is an interdisciplinary research hub focused on addressing complex urban challenges in the UAE and beyond. By joining our team, you’ll be part of a forward-thinking center that combines technology, science, and policy to create real-world impact.

To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, research statement (except for Research Assistant positions, and at least 2 letters of recommendation, all in PDF format.?

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.


New York University Abu Dhabi Corporation

Austria, Vienna Danubepier Hov

56 Faculty of Mathematics
Startdate:?01.08.2025?|?Working hours:?20?|?Collective bargaining agreement:?§54 VwGr. IIIa
Limited until:?permanent
Reference no.:?3984

The Faculty of Mathematics at the University of Vienna is the largest Austrian institution of mathematical research and tertiary education in the mathematical sciences. It consists of active research groups in a wide range of fields, starting from logical foundations, bridging all classical core subjects, and up to concrete applications in industry. As part of the Faculty, the Institute of Mathematics represents the entire discipline of mathematics in research and teaching, without making an arbitrary separation into pure and applied fields.

The Core Operations Mathematics of the Faculty of Mathematics at the University of Vienna is looking for an organisational assistant to support the administration team. The position should be filled at the earliest possible date, ideally at the beginning of August 2025. The position is a part-time (20 hours per week) temporary replacement until 31.07.2026. By mutual agreement, the position may be extended to a permanent position.

We are looking for an open, innovative, and productive colleague who enjoys working in an international and interdisciplinary environment. Does that sound like something for you? Apply to join our team!

Your professional field of activity:

The Faculty of Mathematics offers a dynamic international working environment. As an organisational assistant to the main organised administration team at Core Operations Mathematics you will primarily carry out administrative tasks for the Institute of Mathematics at the Kurt G?del Research Center for Mathematical Logic.

Your special working style: You like to work in a structured manner, are service-orientated and enjoy finding solutions. Maintaining an overview is easy for you and taking responsibility for your tasks is a matter of course. You are a team player and have good social and communication skills. Respectful interaction and constructive cooperation are just as important to you as a positive and motivating working environment.

Your future tasks:

You will support the academic staff in the organisation and administration of their research, project and teaching tasks. This means, for instance:


	You will be jointly responsible for personnel management in third-party funded projects and will support the research assistants in all administrative matters relating to their research and teaching tasks. This includes organizing workshops, conferences, and weekly seminars, as well as being responsible for travel management, absence management, third-party budget management and the entries of scientific papers into the university database.
	You will assist with the design of the website and its ongoing maintenance. And you will prepare the weekly newsletter.
	You will be the central point of contact and handle English and German correspondence with all interfaces (within the team, within the university, with project partners, students, and companies).
	You assist with teaching and exam administration.
	You will be responsible for repairs and maintenance and will assist with planning and implementing room schedules.
	You will provide administrative support for visiting scientists and carry out all kind of general administrative activities.


Required Qualifications/Position requirement:


	Professional experience in office management (preferably in a scientific/university context).
	General or vocational secondary or higher school leaving certificate (Matura) or commercial apprenticeship qualification and
	Very good MS Office skills (especially Word, Excel and Power Point).
	High level of written and verbal fluency in German and English.
	Experience with content management systems (e.g. Typo 3).
	Interest in supporting for guests from home and abroad.
	Ability to work independently in a complex organisation.
	Ability to work independently and autonomously.
	Ability to work in a team.
	Solution-orientated way of working.
	Willingness to undertake further training.
	Knowledge of university structures and experience with SAP and i3V are an advantage.


What we offer:


	Work-life balance:?The compatibility of work and private life or work and study is a particularly important concern for us. In consultation with the team and team management, you can therefore organize your working hours flexibly and in a family-friendly manner and also work partially work from home within the university’s respective framework.
	Inspiring working atmosphere:?You are part of an international team with excellent research infrastructure in a relaxed working environment.
	Good public transport connections:?Your new workplace is easily accessible by public transport.
	Climate neutrality - sustainability:?The University of Vienna contributes to the achievement of climate goals by means of an adopted sustainability strategy and aims to achieve climate neutrality by 2030 through the reduction of resource consumption, resource-saving and sustainable procurements.
	Fixed-term contract and adequate salary:?The basic salary corresponds to the collective agreement for employees of the universities according to § 54 salary group IIIa basic level: EUR 2,699.20 on a full-time basis (14 times per year). The actual salary is finally determined depending on professional experience and qualification. The gross salary covers all benefits of the employee in quantitative and qualitative terms (= all-in payment).
	Internal training and coaching:?We offer you ongoing opportunities to deepen your skills. Choose from an extensive range of courses free of charge.
	Benefits:?The University of Vienna also offers you numerous benefits, such as a company pension fund, travel allowances, low-cost parking, discounted IT (hardware and software), special rates for language courses offered by the university language center, advancement of women, diversity management and specific career advancement, inclusion, Papamonat, flexible childcare, vacation care for children, health care, vaccination campaigns and fitness offers (special rates for USI sports courses) as well as discounts for employees at various companies.
	Equal opportunities for all:?We welcome every additional personality to the team!



Is your interest in this attractive and varied field of activity with autonomous areas of responsibility now aroused? Would you like to take on this new challenge? To actively contribute to the current and future issues of the administrative team around Gudrun Kretzschmar and, above all, to become even better at what you can already do?

Then we are looking forward to you and your meaningful application:


	with a short cover letter,
	a CV and
	certificates of your qualification


either:


	via our job portal by clicking on "Create Profile - Login & Logout" in the header on the upper right, or
	directly in this job posting by clicking the "Apply now" - Button on the bottom right side.


If you have any questions, please contact:

Gudrun Kretzschmar

gudrun.kretzschmar@univie.ac.at

We look forward to new personalities in our team!
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the?advancement of women?and?diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

Data protection
?Application deadline:?06/20/2025?

Administration & Organization


University of Vienna

Singapore

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY?

Singapore Institute of Technology (SIT) aspires to be a leader in innovative learning by integrating learning, industry and community. Its mission is to nurture and develop individuals who build on their interests and talents to impact society in meaningful ways.

Our engineering degree programmes have been developed through extensive consultation with industry, thus creating a curriculum that supports the industry’s needs in manpower development and innovation. We look forward hire faculty with industrial experience to foster applied learning in the course being delivered.

SIT focuses on working with the industry on translational research and innovation, spanning technology readiness levels (TRLs) 3-7. Unlike traditional research which is discovery-oriented, applied research projects have higher TRLs which bridge the gap between theoretical research and industry applications. SIT Engineering Cluster focusses on the five key pillars of Applied Research (i) Infrastructure (Maintenance) (ii) Sustainability (Built Environment) (iii) Energy Resilience (iv) Maritime Engineering and (v) Advanced Manufacturing, working with various industry sectors in Singapore as well as in the region.

For this faculty position, we are looking for candidates with an engineering background, who have extensive experience in?intelligent robotic systems.

Job Description:

SIT is seeking a highly qualified and motivated individual for the position of?Assistant/Associate Professor. This position emphasizes excellence in teaching and applied research. As a faculty member, you will play a crucial role in shaping the education and research endeavors of our institution.

Teaching Responsibilities:


	Delivering high-quality lectures and interactive classes in topics related to robotics, robot operating system (ROS), system engineering, computational mathematics, C/C++ programming, data structure and algorithm, artificial intelligence (AI) and machine learning at the undergraduate level.
	Developing engaging course materials, including syllabi, lecture notes, assignments, and assessments, in accordance with established curriculum guidelines.
	Employing innovative teaching methods and technologies to enhance student learning experiences.
	Mentoring and advising students on academic and career-related matters.
	Evaluating and providing constructive feedback on student performance, including assessments and projects.
	Actively engaging in academic research to stay up-to-date with the latest developments in the field.


Applied Research Responsibilities:


	Conducting cutting-edge research in autonomous system, human-robot interaction, AI for robotics and AI-driven control system, with an emphasis on practical applications and industry relevance.
	Seeking external funding and grants to support research projects and initiatives.
	Collaborating with colleagues, both within the institution and externally, to foster interdisciplinary research and contribute to the overall research goals of the department.
	Publishing research findings in reputable journals and presenting at conferences and symposia.
	Supervising graduate students in their research work and guiding them to facilitate their success.
	Engaging with industry partners and stakeholders to develop collaborative research projects and foster technology transfer.


General Responsibilities:


	Actively participating in departmental meetings, committees, and other administrative tasks as required.
	Contributing to the continuous improvement and development of the curriculum, course materials, and teaching methodologies.
	Demonstrating a commitment to fostering an inclusive and diverse learning environment.
	Engaging in professional development activities to enhance teaching and research skills.
	Promoting the institution's reputation through active involvement in professional societies and organizations.


Qualifications:


	A Ph.D. in a relevant field, such as Robotics, Mechanical/Electrical Engineering, Mechatronics, Computer Science, or a closely related discipline.
	Strong experience in mechatronic system design, robotic perception, autonomous system, human-robot interaction and integration of sensors/ actuators with robotic system.?
	Proficiency in programming languages such as C, C++ and Python, ROS, AI and machine learning, and their application to robotics.
	Significant experience in applied research, with a focus on practical applications in industry.
	Experience in securing external research funding and managing research projects.
	Strong communication and interpersonal skills to effectively engage with students, colleagues, and industry partners.
	The ability to work collaboratively in a team-oriented academic environment.
	A commitment to promoting diversity, equity, and inclusion in education and research.


Successful candidates will join the Engineering (ENG) Cluster (one of five academic clusters in SIT), as members of a team of accomplished experts passionate about higher education and deeply involved in industry transformation through applied research programmes.

Applications will be accepted until the positions are filled. All applications must be submitted electronically via?SIT Career Website.


Singapore Institute of Technology (SIT)

39 Faculty of Computer Science
Startdate:?01.08.2025?|?Working hours:?30?|?Collective bargaining agreement:?§48 VwGr. B1 Grundstufe (praedoc)
Limited until:?31.07.2029
Reference no.:?4099

Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team!

Setting:

The University of Vienna seeks to fill a position of University Assistant (prae doc), for a period of 4 years, focusing on process mining. The selected prae doc will become part of the Research Group Workflow Systems and Technology (WST) at the Faculty of Computer Science and will work towards obtaining a doctorate degree (PhD) under the supervision of Prof. Han van der Aa. The position is to be filled as soon as possible.

The WST research group focuses on research in process mining, which revolves around the data-driven analysis of organizational processes. At WST, we offer an excellent working environment in a young and dynamic research team. As a member of the team, you will contribute to state-of-the-art research in the field. You will have the opportunity to set your own research agenda, publish your work at leading international conferences, and exchange ideas with international and interdisciplinary collaboration partners.

The Faculty of Computer Science of the University of Vienna has world-leading researchers in Computer Science who pursue basic as well as applied research. The selected praedoc will also become part of the UniVie Doctoral School Computer Science (DoCS), which builds an essential framework to foster excellence in research and teaching.

The appointment is for 4 years, whereby the employment contract is initially limited to 1.5 years and is automatically extended to a total of 4 years, unless the employer submits a declaration of non-renewal after a maximum of 12 months.

Your future tasks:

You will actively participate in research, teaching, and administration, which means that you:


	are involved in process mining research
	will work on your doctoral dissertation and its completion
	will contribute to the teaching of courses as defined by the collective agreement
	will supervise students in bachelor and master projects
	will contribute to the administration and other operational aspects of the group's scientific and educational activities


Your profile:


	Master's degree in Computer Science, (Business) Information Systems, Data Science, or an equvalent qualification with excellent grades
	An excellent command of English (spoken and written)
	A strong interest to work in process mining (experience is preferred but not required)
	Good programming skills, preferably in Python
	Strong ability to work in teams
	Perseverance and ability to get things done
	A high motivation to excel in your work


Desirable qualifications are


	Knowledge of process mining
	Experience with process modeling (Petri nets, BPMN, etc.)
	Experience with relevant programming libraries such as Py4PM
	Research or teaching experience, e.g., as a student assistant


What we offer:

Work-life balance:?Our employees enjoy flexible working hours and can partially work remotely.?
Inspiring working atmosphere:?You are a part of an international academic team in a healthy and fair working environment.
Good public transport connections:?Your workplace is easily accessible by public transport.
Internal further training & Coaching:?Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.
Fair salary:?The basic salary of EUR 3,714,80 (on a full-time basis) increases if we can credit professional experience.
Equal opportunities for all:?We welcome every additional/new personality to the team!

It is that easy to apply:

Just submit the following via the job portal:


	A motivation letter, targeting the specific position
	Your curriculum vitae (including publications and teaching experience, if applicable)
	The abstract of your master thesis
	A Certificate of your master's degree (or transcript of records if not yet available)


If you have any questions, please contact:

Johannes Hendrikus van der Aa

han.van.der.aa@univie.ac.at

We look forward to new personalities in our team!
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the?advancement of women?and?diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

Data protection
?Application deadline:?06/20/2025

Prae Doc


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Aga Khan University

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