Universitas Islam Riau

Description The Division of Engineering (Civil and Urban Engineering) in New York University Abu Dhabi seeks to recruit a post-doctoral associate to work on research centering around infrastructure systems and the environment under the supervision of Dr. Ahmad Bin Thaneya. The post-doctoral associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems (e.g., transportation networks, manufacturing systems, and truck routing). Assessing the relevance of the intake fraction (i.e., exposure efficiency) of major emission sources as a critical metric for infrastructure design, management, and policymaking. Investigating the residual sources of PM2.5 exposure from transportation systems following electric vehicle (EV) adoption, including exposure due to emissions from electricity generation for charging EVs, buses, trucks, rail, pavement resurfacing, tire and brake wear, and supply chain effects. Conducting life-cycle uncertainty assessments of building materials, carbon sinks (e.g., carbon dioxide removal options), and alternative low-carbon fuel sources. Candidates should demonstrate a strong theoretical background and proficiency in one or more of the following areas: infrastructure systems modeling, emissions inventory development, air quality modeling (chemical transport models and/or reduced-complexity models), exposure assessment of airborne pollutants, and life-cycle assessment. The post-doctoral associate will be expected to lead research efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and Environmental Engineering or a related field High proficiency in programming languages (e.g., Python or MATLAB) A strong record of authorship in peer-reviewed academic journals Excellent interpersonal and communication skills to support effective collaboration For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, a transcript, and two letters of reference, all in PDF format. If you have any questions, please email aab8693@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately, and candidates will be considered until the position is filled. 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.

Description The Bias, Ethics, and Privacy Cluster within the Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at New York University Abu Dhabi seeks to recruit a Postdoctoral Associate under the supervision of Professor Hanan Salam to work on the development of frameworks, tools, and theoretical foundations for bias detection and mitigation in AI & data science, with a particular focus on applications relevant to the Arab world. The successful applicant will join a multidisciplinary research team working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI systems, understand the design and development decisions that propagate social biases, and develop theoretical and algorithmic approaches to mitigate them. Key responsibilities include developing bias detection tools, building fairness-aware algorithms, and contributing to practical guidelines and theoretical frameworks that address systemic bias in data-driven systems. This position offers the opportunity to work in a vibrant research environment with faculty and collaborators across computer science, data science, design, and ethics, and to contribute to high-impact research that shapes the development of equitable and inclusive AI technologies in the Arab region. Applicants must have a PhD in Computer Engineering, Computer Science, Data Science, AI, HCI, or a closely related field, and a strong track record of research in areas such as algorithmic fairness, bias in machine learning, ethics in AI, or sociotechnical systems. Strong programming and data analysis skills are essential. Preferred qualifications include experience working with interdisciplinary research. Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. For consideration, applicants need to submit in PDF format: Cover letter Curriculum vitae with full publication list Research statement highlighting past and current research experience Research project explaining how the candidate sees their research fit in the research axes of the lab At least two letters of reference, all in PDF format The appointment will be for 1 year, with the option to renew further depending on performance (in total not to exceed 5 years). More information about professor Hanan’s lab can be found here: https://wp.nyu.edu/smartlab/ If you have any questions, please email Prof. Hanan Salam at hanan.salam@nyu.edu. The terms of employment are very competitive and the position provides salary higher than internationally competitive rates for Post-Doctoral positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax. 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/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Copenhagen Business School invites applications for a number of vacant PhD scholarships at the Department of Strategy and Innovation. Expected starting date is 1 September 2026. The Department of Strategy and Innovation’s (SI) research is focused on strategy, innovation, entrepreneurship and international business. The department aims to host a high-quality environment for research and teaching within the broad area of strategy. The department’s research is generally cross-disciplinary. Faculty members have backgrounds in management, economics, sociology and economic geography. The theoretical foundation for research in these areas is eclectic, combining strategy, innovation, and/or internationalization theory with insights from economics, sociology, psychology, and economic geography. The department has 45 faculty members (professors, associate professors, tenure track assistant professors), 7 administrative staff, and 30 members of staff who are hired on temporary contracts as research assistants, post docs or PhD students. The department puts substantial emphasis on the solid application of scientific research method. The department has a pluralistic approach to research methods that includes, for example, formal theoretical models, quantitative empirical methods such as (lab and field) experiments, econometric applications to register data or survey data, as well as qualitative research methods. PhD project proposals should be based on coherent theoretical arguments and contain well-informed methodological considerations. To find out more about the department please go to https://www.cbs.dk/si. Project topics SI particularly invites for PhD project applications pertaining to the following broad topics, although applications that address other topics within the research scope of the department will also be considered (please indicate the number and title from the list below in your project proposal): Multinational firms (MNEs), labour markets, and inequality: How do global firms shape the labour market integration of marginalized groups, and how do these workers influence firm strategies? This project studies the role of MNEs in shaping labour market integration and inequality, with focus on vulnerable worker groups such as refugees. Exploiting Danish register data and quasi-experimental variation from integration policy reforms (e.g., work-permit timing, settlement rules), you will investigate how these shocks affect MNEs’ and domestic firms’ workforces and refugees’ career outcomes. AI adoption and careers: How does AI reshape work and businesses? Linking data on job postings with Danish administrative data, this project investigates AI’s impact on careers. By analysing firms’ adoption of AI, the project investigates the impact on skills and careers. The goal of the project is to track AI diffusion across industries and provide critical evidence for labour policy and skill development in the era of AI. Cluster connectivity, innovation and strategy: Specialized technology clusters such as Silicon Valley or Bangalore are central to the emergence of new technologies and in global strategies of multinational enterprises (MNEs). In turn, their development trajectories are influenced by their global connectivity: MNE pipelines and cross-border personal relationships. This project studies the antecedents and processes of cluster connectivity and associated MNE strategies and innovation outcomes. It ranks cluster connectivity in selected industries and singles out specific clusters for closer analysis, applying quantitative as well as qualitative research methods. Impact Investing, Syndication Dynamics, and the role of Limited Partners: The phenomenon Impact Investing (II) has significantly increased in scholarly and policy attention (e.g., the EU's SFDR plan). E-ship and finance scholarship are calling for more research to understand how II works and performs, particularly contrasting financial and impact-based returns. Among different avenues for research, the project could develop around topics such as syndication dynamics (e.g. II and classical VC investors) and/or relationship between LP and GP in impact investing. A more management (i.e., not Finance) perspective is preferred. Quantitative methods are preferred; qualitative methods are welcome too. Corporate Venturing (CV): New Strategies to Value Creation: Corporate-Startup interactions have reached a critical point in the e-ship and innovation literature. While their performance implications are largely positive, which mode to operate and when is still a strategic challenge (e.g., CVC vs Venture Clienting) and it calls for additional research. The project aims to possibly explore, among possible different topics, the portfolio approach to Corporate Venturing and/or the new role of Venture Clienting as emerging strategies. Quantitative methods are preferred; qualitative methods are welcome too. Game-theoretical modelling of topics in strategy: This proposal invites formal (game theoretical) approaches to topics in strategic management and international business (e.g., the strategic implications of CSR, efficiency versus market power, the organization of the multinational enterprise). Startups, Talent & Careers: How do startups shape people’s careers and how do people, in turn, shape startup success? You will study startups both as places where people work and as stepping stones to future opportunities. Possible topics include how startups hire and retain talent, and what happens to founders and early employees after they leave. The project offers opportunities to work with large-scale datasets (rich Danish register data and international job-posting data) and modern methods such as text analysis, causal inference, and experiments. Talent Strategy in an Age of Immigration Constraints: This project examines how firms adjust their talent strategies in response to labour shortages resulting from aging workforces and restrictive immigration policies. Using firm- and worker-level data, it examines organizational responses such as hiring, training, automation, and geographic reorganization, and their implications for performance and inequality. Impact Investing & Sustainable Entrepreneurship: This project examines how impact investors influence the growth and strategic direction of sustainable startups. Using investor interviews, experiments, and large-scale investment data, it examines investment decision-making, goal adherence, and collaboration with traditional investors, as well as their implications for social impact and financial performance. This topic is based on a Sapere Aude Research Leader grant from the Independent Research Fund Denmark: Optimizing Human-AI Interaction: Integrating Domain Knowledge into Causal AI Systems: Causal AI enhances the robustness, fairness, and explainability of artificial intelligence systems by explicitly modeling causal mechanisms and incorporating domain expertise. Situated at the intersection of artificial intelligence and strategic management, this project investigates the extent to which causal reasoning within AI systems can improve managerial decision-making. The research employs a mixed-methods design, integrating laboratory experiments with field studies conducted in collaboration with an industry partner to assess real-world impact. For the qualified applicant, a good working knowledge of causal inference methods (e.g., from econometrics or related fields) will be considered an asset. More info: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2025/paul-huenermund/ The Mærsk Mc-Kinney Møller Endowed Chair of Entrepreneurship welcomes proposals in the area of entrepreneurship, including the following topics: - How entrepreneurial ventures attract resources, namely funds, employees, and managerial teams. - Which strategies entrepreneurial ventures use for growth and how they succeed. - How entrepreneurial ventures ally with established firms and how they succeed. - Creation and performance of new ventures by immigrants. - Gender differences in engagement, strategies and success in entrepreneurship. - The effectiveness of public policies towards entrepreneurship, and which firms benefit the most. Methods will be empirical, mostly register data but also lab and field experiments. A particular quality of the department is in the use of empirical methods on large-scale microdata sets, in particular the comprehensive Danish micro-data, but other sources like lab and field experiments or other types of primary data like own surveys and secondary data collected by third parties can also be used. About the PhD program The three-year PhD program at CBS allows you to conduct research under the supervision of CBS professors, supported by research training courses. The program is highly international, and you are expected to participate in international research conferences and to spend time abroad as a visiting PhD student. The PhD student will be enrolled in the CBS PhD School. The selected candidates will participate in the SI PhD cohort, which is a formal research-training program. This includes a package of foundational courses within the main SI research areas and methods courses (econometrics, experiments and qualitative methods). CBS PhD graduates are held in high esteem not only in academia and research institutions but also in government and business where their research qualifications are increasingly demanded. Recent graduates from the SI PhD program have found opportunities at institutions including Pompeu Fabra, SKEMA, KTH, Tilburg University, Leeds University Business School, the University of Utah, Stockholm School of Economics, and NOVA School of Business and Economics, Lisbon. Qualifications The Department will give priority to applicants with the following qualifications: high grades from their universities, an educational background in the social sciences, and fluency in English. To be considered for the 3 years program, the candidate should have a basic training at the Master’s level (similar to the 3 + 2 Bologna process and a total of 180+120 ECTS). However, applicants who hold a one- year Master’s degree may also be considered for evaluation. PhD students who enter the PhD program with a one-year Master’s degree (60 ECTS) will be offered a 4 years program and will be considered a Master’s student for the first 2 years of the program. General information The PhD scholarship includes teaching obligations. The 3-year scholarships are fully salaried positions, according to the national Danish collective agreement. The scholarship includes the tuition fees, office space, travel grants plus a salary, currently starting with per month app. DKK 31,000 (app. 4,200 euro) up to DKK 37,000 (app. 5000 euro), depending on seniority, plus a pension contribution totalling 18.07% of the base salary. The salary level and appointment is determined by the Ministry of Taxation’s collective agreement with the Central Academic Organization. The application Copenhagen Business School must receive all application material, including all appendices by the application deadline. Application must be sent via the electronic recruitment system, using the link below.  The application material must include: Copy of diplomas and grade transcripts from Bachelor’s and Master’s level education, Curriculum vitae (CV), If relevant, a list of papers and publications, Sample of a written work (e.g. Master’s thesis), A 5-page PhD project description. This research proposal should contain a presentation of an original research question preferably pertaining to one of the projects listed above, a description of the initial theoretical framework and methodology, a presentation of the suggested empirical material as well as a work-plan. Please find guidelines and further information on the website of the PhD School: https://www.cbs.dk/en/research/phd-programmes/admission. Recruitment procedure The Recruitment Committee will shortlist a number of applicants to be assessed by the Assessment Committee. All applicants will be notified of their status in the recruitment process shortly after the application deadline. Applicants selected for assessment will be notified about the composition of the Assessment Committee and later in the process about the result of the assessment. Once the recruitment process is completed each applicant will be notified of the outcome of their application. To find out more about working and living in Denmark, please go to https://www.cbs.dk/en/about-cbs/job-and-career/international-employees. Information meeting There will be an online information meeting regarding this call on Tuesday, February 3, 2026, from 14.00-16.00 (2pm-4pm CET). There will be a presentation of the SI Department and an opportunity to ask questions. In order to get a link for the meeting, please sign up at: https://event.it/si/event/6hw2bx/token/2sn8 For further information please contact: PhD coordinator, Professor H.C. Kongsted, e-mail: hck.si@cbs.dk. Closing date: February 20, 2026.