profile-logo-default.png

Kibabii University

Kibabii University gained university status in 2011. 
Students can study across schools of science, business and economics, arts and social science, education, and computer and information science. 
An Innovation Hub, funded by the Erasmus+ programme opened in 2020. It was one of six Kenyan universities to take part in a training programme for health educators provided by the University of Manchester.
Students can stay in the student hostels on the 28 hectare campus.
The student affairs office supports student welfare and organises events and clubs for students.

Kibabii University | World University Rankings | THE

Times Higher Education

Overview

For Students

Teaching and Research

Basic information and contact details for Kibabii University

About Kibabii University

Build your profile to connect with students and professionals around the world

Do you work for this institution?

Good Health and Wellbeing

Quality Education

Gender Equality

Decent Work and Economic Growth

Industry, Innovation and Infrastructure

Partnership for the Goals

Overall

World University Impact Rankings - Clean Energy 2025

Select the type of ranking below to see stats

Impact Rankings

About

Rankings

Key stats

Jobs

Subjects

Downloads

FAQs

Suggested universities

?44,355 - ?47,882 per annum, including London Weighting Allowance

United Kingdom, London

About us

From its earliest years, the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) has been fundamentally changing and shaping how we understand, prevent and treat mental illness and other conditions that affect the brain.? The legacy, ethos and drive of the IoPPN has ensured its position at the forefront of mental health care, redefining mental illness, its treatment and its place in society.

The IoPPN is divided into 14 academic departments across three major academic Schools: Academic Psychiatry, Mental Health & Psychological Sciences, and Neuroscience.

The Department of Psychosis Studies, part of the School of Academic Psychiatry, is one of the world’s leading centres for research into psychotic disorders. Our research includes the following major themes: Comorbidities & transdiagnostic approaches; Interventions; Neuroscience & biological mechanisms; Prediction and analytics; Risk factors and population health; and Treatment resistance. Our work involves a wide range of methodologies, including artificial intelligence/ digital technologies and interventions, cognitive neuroscience approaches, epidemiology, experimental medicine and clinical trials, ex vivo analyses, genomics, health service and applied research, meta-analysis and evidence synthesis, prevention and early intervention, psychological approaches, psychopathology/ phenomenology, neuroimaging, real world data analyses and natural language processing, and stem cell techniques.

About the role

This is an exciting position where the successful candidate will have the opportunity to work as part of an internationally leading team of researchers investigating biological bases of neuropsychiatric and neurodegenerative disorders and the mechanism of action of treatments. The team has a particular interest in investigating the mechanism of action of cannabinoids and a key component of this program of work will involve the application of cutting edge neuroimaging techniques such as fMRI to investigate the neural substrates underpinning the harmful effects of recreational cannabis use as well as potential therapeutic effects of cannabinoids.

They will be expected to support ongoing studies. For example, mechanistic sub studies linked to clinical trials as well as observational studies and contribute to grant applications or protocols. This often involves neuroimaging or cognitive paradigms.

The successful candidate will will work closely with Prof Sagnik Bhattacharyya?www.kcl.ac.uk/people/professor-sagnikbhattacharyya?and other investigators based at King’s College London, in particular Dr Latha Velayudhan?www.kcl.ac.uk/people/dr-latha-velayudhan They will also interact with clinical fellows, research assistants, postdoctoral researchers and PhD students working in the group.

This is a full-time, fixed term post, currently funded for 12 months with potential for extension and an anticipated start from August 2025. The successful candidate will be encouraged to apply for postdoctoral fellowships

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria?


	PhD in Psychiatry or a related field e.g. Neuroimaging, Genetics or another other field focusing on neuropsychiatric conditions
	Experience in quantitative data analysis techniques with proficiency in Python, R, MATLAB or another relevant language.
	Good communication skills, ability to critically appraise research findings and present at meetings and conference.
	Self-motivated with ability to work independently and having good organisational and time management skills.
	Strong publication record appropriate for career stage with first-author publications.
	Excellent interpersonal skills to develop and maintain effective working relationships
	Knowledge and interest in study design (research) and statistical analysis approaches


Desirable criteria


	Experience in grant application development.
	An understanding of data protection and patient confidentiality.
	Knowledge of neuropsychiatric or neurodegenerative disorders.
	Experience or interest in the analysis of neuroimaging datasets or genetic data Full details of the role and the skills and experience required, can be found in the attached job description which provided on the next page.
	Experience or interest in clinical trials or pharmacological challenge studies


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.

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.

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.

As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

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.

We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK.

This post is subject to Disclosure and Barring Service and/or Occupational Health clearances.

Grade and Salary:??44,355 - ?47,882 per annum, including London Weighting Allowance
Job ID:?116345
Close Date:?22-Jun-2025
Contact Person:?Prof Sagnik Bhattacharyy
Contact Details:?sagnik.2.bhattacharyya@kcl.ac.uk


King's College London

Finland

Start date: autumn 2025
Post duration: 3 years in the first instance, with a 1-year extension negotiable

Applications evaluated on a rolling basis

The Digital Economic Security Lab is recruiting a postdoctoral researcher with a background in politics, law, economics, or related disciplines to work on?GEOCLOUD: The Geopolitics of Cloud Computing, a European Research Council Advanced Grant project.

Outsourcing computation to cloud providers can be economically efficient while at the same time generating new systemic risks and dependencies that governments try to manage.

GEOCLOUD is concerned with mapping the changing geography of computational infrastructures and understanding how it is shaped by the interaction of technology companies’ business interests and states’ economic and security interests.

The project focuses on Europe and East/Southeast Asia, situated within the broader context of U.S.-China technological rivalry. It aims to contribute to international political economy, security studies, and related fields. The researcher will join a multi-disciplinary team led by Professor Vili Lehdonvirta, consisting of both computer and social scientists.

Principal investigator and community

The project’s principal investigator, professor Vili Lehdonvirta, is a Finnish-British sociologist and political economist with a background in computer science. He is the recipient of three European Research Council grants, has served on high-level expert groups at the European Commission, and has published two books on digital economies translated to Japanese, Chinese, and Italian. He holds a dual appointment as Professor of Technology Policy, Department of Computer Science, Aalto University, and Professor of Economic Sociology and Digital Social Research, Oxford Internet Institute, University of Oxford.

The postdoctoral researcher position is part of Professor Lehdonvirta’s Aalto-Oxford joint research group, titled the?Digital Economic Security Lab (DIESL). The multidisciplinary lab comprises both social and computer scientists. The lab’s joint activities include weekly cross-site virtual seminars, annual in-person workshops in Oxford and Helsinki, and conference trips.

Responsibilities

The postdoctoral researcher will lead a work package in the GEOCLOUD project that focuses on comparative policy analysis. The aim of the work package is to understand how governments attempt to influence the geography of computation through various cloud-relevant policies, and what impact these policies may have.

This involves three related responsibilities:

Documenting and categorizing government cloud policies

The researcher will develop a dataset of government policies that may shape cloud infrastructure in selected jurisdictions, including Northern Europe, East/Southeast Asia, the U.S., and China. Drawing on existing databases (such as the Digital Trade Integration Database and Digital Policy Alert) and additional sources, the postdoc will systematise policy examples into a format suitable for comparative and quantitative analysis. Relevant policy instruments may include cross-border data flow regulations, procurement rules (e.g. ‘cloud-first’ mandates), tax incentives, infrastructure investments, or designations such as ‘trusted cloud’.

Interview-based assessment of policy impacts

The researcher will conduct interviews with key stakeholders in selected countries. These include policy makers and cloud industry professionals. The goal is to assess the perceived and observed effects of government policies on cloud adoption, infrastructure investments, and data centre location decisions.

Contributing to quantitative analysis of policy impacts

The GEOCLOUD project team will use the cloud policy dataset together with infrastructure and usage data developed in other work packages to model how policies influence cloud geography and computational centralization.

Methods may include multiple regression, panel data models, difference-in-differences, and multilevel modeling.

The postdoc will take part in the analysis to test hypotheses on how specific policies (e.g. subsidies, foundry investments, procurement rules) shape outcomes such as data centre presence or market share of local vs. hyperscale solutions. These analyses will contribute to estimating the economic and political trade-offs of digital sovereignty goals.

The role can be adjusted towards qualitative or quantitative research, depending on the profile of the successful candidate. Additional support for data collection and analysis is available, depending on the researcher’s methodological focus and needs.

In addition to leading their own work package, the postdoctoral researcher will contribute to the broader GEOCLOUD project by co-authoring publications, guiding junior team members, and engaging in public outreach. They will also play a role in shaping the project’s future outputs, such as an open-access “Cloud Observatory” data portal.

Overall, the postdoctoral position requires strong research and teamwork skills, and in return offers excellent career development opportunities, including travel funding, open access publication funding, co-authoring opportunities, graduate supervision opportunities, training courses, access to academic networks in Helsinki, Oxford, and beyond. In particular, Professor Lehdonvirta is keen to support team members in ultimately developing their own ERC Starting Grant applications.

Selection Criteria

Essential selection criteria

Applicants should meet?all?of the following:


	Doctoral degree (or a confirmed defence date) in political science, law, economics, or a related discipline?
	Strong analytical and academic writing skills, with a publication record or demonstrated potential in relevant fields
	Familiarity with a relevant area of digital policy (e.g. data protection regulation, trade policy, infrastructure governance)
	Demonstrated interest in the politics of digital infrastructure, cloud computing, or digital sovereignty
	Excellent communication and collaboration skills in English
	Basic understanding of quantitative methods (e.g. multiple regression)


Additional selection criteria

Applicants should meet some of the following:


	Experience with quantitative methods (e.g. multiple regression, panel data models) or mixed-methods research applied to policy-relevant questions. We welcome candidates with advanced skills, but we also encourage applicants with strong potential and a willingness to develop these skills further as part of the project.
	Familiarity with key concepts in either digital trade, economic analysis, geoeconomics, or technology policy
	Experience conducting and analysing qualitative interviews
	Relevant country expertise and language skills
	Prior experience in multi-country or comparative policy research
	Familiarity with cloud computing platforms or basic Internet infrastructure concepts (e.g. DNS, routing)


Track record of independent or collaborative publications in journals relevant to international political economy, digital governance, or public administration

Job location

This position is physically based at Aalto’s Department of Computer Science, one of the leading computer science research units in northern Europe. The department boasts a history of pioneering contributions to areas such as artificial intelligence and today hosts a growing community of social scientists studying digital technologies. It is situated in the Helsinki area, also home to Nokia, the European Center of Excellence on Countering Hybrid Threats, and a thriving cybersecurity and startup scene. Also located in the area is the Finnish Institute of International Affairs, known among other things for helping to modernize the academic study of geoeconomics.

Helsinki is the capital of Finland, ranked as one of the most innovative countries in the world. Finland is home to Google’s and Microsoft’s cloud regions as well as Europe’s fastest publicly funded supercomputer LUMI. Finland’s new European Commission Vice-President Henna Virkkunen is responsible for technological sovereignty, security, and democracy in the European Union. The World Happiness Report 2024 ranked Finland as the world’s happiest country for the seventh year running.

Pay and benefits

The salary is approximately €4,000-€4,200 per month, depending on the successful candidate’s skills and experience. Benefits include high-quality occupational healthcare, sports facilities, and training courses for supporting professional development. The annual working time is 1612 hours, which enables generous holidays. Support for relocation is available.

How to apply Submit your application via Aalto’s online application system. Please include the following attachments:


	CV
	A cover letter that includes a point-by-point response to how your profile matches the selection criteria listed above (max. 1,500 words)
	One writing sample, preferrably single-authored, demonstrating your academic writing skills, not necessarily on a related topic (ideally around 8,000 words)


Applications are evaluated on a rolling basis from 12 June onwards. If your application is shortlisted, you will be contacted to arrange an interview. At that point you will also be asked to provide the contact details of two referees.

Please send any informal queries via email to?vili.lehdonvirta@aalto.fi?with the word GEOCLOUD in the subject line. Please note that responses may be delayed.

Related publications

Lehdonvirta, V. Wu, B., and Hawkins, Z. (2024). Weaponized interdependence in a bipolar?world: How economic forces and security?interests shape the global reach of U.S. and?Chinese cloud data centres. Review of International Political Economy. https://doi.org/10.1080/09692290.2025.2489077

Lehdonvirta, V. Wu, B., and Hawkins, Z. (2024). Compute North vs. Compute South: The Uneven Possibilities of Compute-based AI Governance Around the Globe.?7th AAAI/ACM Conference on AI, Ethics, and Society.?San Jose, CA, October 21-23, 2024.?https://doi.org/10.31235/osf.io/8yp7z

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity

To view information about Workday Accessibility, please click here.

Please see more of our Open Positions here.


Aalto University

United Kingdom, Southampton

We are looking for a creative and strategic Head of Social Media and Content to lead the University’s social media strategy and campaigns. This key leadership position is a new post that will lead a team of social media and digital content specialists to boost engagement for the University online.

You will bring together social media expertise, channels and responsibilities under a single comprehensive approach that supports the University Strategy and enhances our reputation in the UK and internationally. You will be adept at using audience insight to create compelling story-led digital content that resonates with key stakeholders online, using data to track engagement and drive continual improvement. You will bring an innovative, creative approach to driving cut through and bringing our world-leading research, exceptional student experience and innovative partnerships and innovation to life, driving student retention and recruitment.

A natural team leader, you will bring together colleagues from across the University to amplify stories across social media, establishing best practice and providing guidance to those managing faculty and school accounts. You will work closely with colleagues in the Marketing team to provide support and advice on paid-for social media campaigns. ? You will need to be adept at advising senior leaders on both opportunities and risk, providing guidance on how to maximise social media profiles to boost reputation with key influencers and stakeholders. You will also be skilled at monitoring issues online, giving prompt advice and updates on how to mitigate risk and manage challenging situations.

As a vital member of the management team, you will role model Southampton’s values, providing inspirational leadership to your team to support high performance, staff engagement and collaborative working.

Apply by uploading your CV and a cover letter detailing how your skills and experience match the requirements of the role. If you would like an informal chat, contact?commssupport@soton.ac.uk


University of Southampton

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)

Austria, Vienna Danubepier Hov

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


网曝门

Kibabii University

Arts and Humanities

Business and Economics

Computer Science

Education Studies

Life Sciences

Medical and Health

Physical Sciences

Social Sciences