De Anza College

We are seeking a postdoctoral researcher to support the project "Social networking in the era of artificially intelligent agents” funded by the Research Council of Finland. The direction is to design new AI-supported experimental or observational research methods to understand the foundations of social life. In particular, we will focus on the microfoundations of social networking—why do we actually know the people we know? How and to what extent do we choose our acquaintances? And decision-making—why do we decide what we do in a given context? Your role and goals Your primary goal in this position will be to do excellent research at the borderland of behavioral, social, and computer science, both in collaboration with the Aalto team and within your existing professional network. We aim to continue publishing in top international interdisciplinary or social science venues. In addition to research work, persons hired are expected to participate in teaching in accordance with the department’s standard practices. Your network and collaborators You will work closely together with the PI, his group of three Ph.D. students, and his international colleagues. You will also be embedded in the vibrant Society & Networks research area, with 8 faculty members and around 30 students and postdocs. Your experience and background Requirements for postdoc applicants:  Ph.D. in behavioral, cognitive, or social science, or a Ph.D. with a computational profile (computer science, engineering, applied mathematics, or natural science) and active experience with interdisciplinary collaborations with the previous fields.  The Ph.D. should be no more than three years old at the date of application (disregarding parental leaves and similar career breaks). Current Ph.D. students expected to obtain a Ph.D. before the end of 2026 are also welcome to apply.  Prioritized research experience (at least two of these points):  Designing and running advanced online experiments and surveys with human participants using platforms like Empirica or similar.  Running social simulations with AI agents using platforms like Concordia or similar.  Coding in Python or a similar language for simulation, visualization, and advanced statistical analysis (causal inference, etc.).  What we offer The starting salary for the position is 4230 EUR per month. In addition to the salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system. The annual total workload of research and teaching staff at Aalto University is 1612 hours. The position is located at the Aalto University’s Otaniemi campus. A typical contract will be for two years with an option for extension. The starting date is negotiable, but the fall 2026 or January 2027 would be preferable. There is generous travel support for various conferences and workshops, and we also have incoming international visitors at regular intervals. You will have opportunities to establish new collaborations and expand your professional network. Ready to apply? To apply for the position, please submit your application, including the attachments listed below, as a single PDF document in English through our online recruitment system using the link on Aalto University’s web page ("Apply Now”).  Letter of motivation (including information on the above-listed requirements and desired skills for the position).  CV including a list of publications.  Degree certificates and academic transcripts.  Contact details of at least two references.  The deadline for applications is August 17, 2026. Aalto University reserves the right, for justified reasons, to leave the position open, extend the application period, reopen the application process, and consider candidates who have not submitted applications during the application period. Please note: Aalto University’s employees and visitors should apply for the position via our internal system, Workday -> find jobs (not the external aalto.fi webpage for open positions), using their existing Workday user account. Further information Petter Holme, e-mail "petter.holme@aalto.fi" (research related information) HR Advisor, e-mail "hr-cs@aalto.fi" (recruitment process). (Not available July 3–23.) 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.

Job Purpose Research Fellow (Connector) work with industry partners to co-create commercially viable solutions in healthcare innovation. They deliver on projects that help healthcare institutions and businesses to move up the innovation value chain, addressing critical challenges in Singapore's evolving healthcare landscape. While working on these projects, Research Fellow (Connector) will have the opportunity to be equipped with applied research skill sets and enhanced project implementation capabilities that are relevant to industry demands. The success of these initiatives will bring about deeper collaboration with key healthcare stakeholders that will translate the industry engagement into more innovation projects with SIT. This role will play a pivotal role in advancing healthcare innovation research and projects. Collaborating closely with faculty, healthcare institutions, industry partners, researchers, and students, the role will co-create impactful, practical, and commercially viable solutions that address critical healthcare challenges in Singapore, such as (but not limited to) automating processes, AI implementation, workflow redesigning, technology empowerment and improving operational efficiency to tackle issues related to an aging population, chronic diseases, rising healthcare costs and shortage of manpower. Key Responsibilities Applied Research and Innovation Lead and manage projects focused on healthcare innovation and assess the outcome, such as adopting automation systems, implementing AI and analytics in healthcare settings, workflow redesign for productivity improvement, and technology solutions for operational challenges in healthcare institutions and professionals. Explore emerging healthcare technologies, frameworks, and practices to advance sustainable healthcare solutions in Singapore's healthcare ecosystem. Conduct needs assessments and operational efficiency analyses to address real-world healthcare challenges, particularly in varies areas related to allied health, nursing and community health. Conceptualize, design and implement innovative projects based on deep understanding of healthcare providers' needs and available technologies, matching both of them effectively, with emphasis on practical implementation and measurable outcomes. Industry Engagement Collaborate with healthcare institutions, industry partners, and government agencies (e.g., MOH, HPB) to co-create solutions that enhance operations and support national healthcare transformation initiatives (e.g., Healthier SG, Age Well SG, 3 Beyonds). Identify emerging trends and opportunities in healthcare innovation to position SIT and its partners as key contributors to health technology advancement. Foster and maintain strong partnerships with healthcare businesses, institutes of higher learning, start-ups, and public sector stakeholders to develop impactful projects that improve healthcare delivery and population health outcomes. Serve as a technical and strategic liaison to frame projects with healthcare enterprises, identify required capabilities across the innovation ecosystem, and translate stakeholder needs into actionable initiatives. Work closely with internal teams (e.g., ICCAHI core team, IaaS, Innohub) and external partners to develop and implement collaborative projects, including co-funding arrangements and licensing opportunities. Support the attraction and development of high-value, industry-relevant projects for SIT, Polytechnics, and ITE applied research and innovation centres. Leverage industry networks to facilitate knowledge transfer, capability development, and technology adoption across healthcare and innovation ecosystems. Secure and identify funding sources through grants, proposals, and industry partnerships, and support stakeholders in grant applications (e.g., ICDG, EDG, LTIF), ensuring compliance with funding requirements and quality standards. Act as a liaison between internal and external stakeholders, including students, to gather feedback and translate insights into continuous improvements in projects and initiatives. Project Management Oversee the planning, execution, and delivery of healthcare innovation and ICCAHI-related projects, ensuring timely completion and high-quality outcomes. Plan, coordinate, and manage day-to-day operations, including developing annual roadmaps and workplans. Monitor project progress, budgets, milestones, and KPIs, and prepare regular updates and reports for stakeholders. Prepare and manage budgets, financial reports, costing analyses, and project documentation in alignment with funding and institutional requirements. Oversee project agreements, working with TTO and relevant stakeholders to ensure intellectual property protection, compliance, and effective collaboration. Maintain proper documentation and shared repositories for project tracking and reporting. Administrative and Operational Support Handle administrative functions such as account management, invoice processing, payment collection, operational duties as required, and any other administrative responsibilities within the scope of ICCAHI, as directed by Head of ICCAHI. Professional Development and Expertise Stay updated with developments in healthcare innovation, including new technologies, market development, regulations, and industry practices in Singapore and internationally. Support the cluster in obtaining IAF-ICP and IAF-PP funding by leveraging industry knowledge and proposal development expertise. Curate innovation showcases and success stories that highlight the impact of Health Living Lab projects and initiatives. Job Requirements A degree in Healthcare Management, Health Sciences, Engineering with healthcare experience, or a related field. Master in a relevant field (eg MBA) is preferred. At least 7 years of relevant industry experience in healthcare settings, with a proven track record in healthcare innovation, operational improvement, and technology implementation. Strong knowledge of healthcare technologies, resource management, and healthcare business practices in Singapore. Experience in healthcare workflow analysis, automation implementation, and healthcare metrics. Strong analytical, project management, and communication skills. Experience in writing project proposals, grants, and government tenders will be an added advantage. Extensive experience and knowledge of Singapore healthcare industry practices to bring industry perspective to SIT. Keen interest in healthcare innovation projects, with demonstrated ability in developing solutions to operational and technical problems in healthcare settings. Strong supervisory skills and enjoy working closely with students in an educational environment. Demonstrate proficiency to keep abreast of development in the healthcare field and pursue professional certification programs. Possession of industrial certifications in relevant healthcare areas will be an added advantage. Key Competencies Strong understanding of the healthcare challenges faced by Singapore institutions and the market landscape in Singapore and the region, particularly regarding aging population, rising healthcare costs, and demand for efficiency. Ability to perform as a domain expert, contributing to the mapping and development of the healthcare industry ecosystem. Demonstrated ability to facilitate collaboration among diverse stakeholders, such as public agencies, POLITE, SIMTech, and IPI to advance healthcare innovation initiatives. Experience with or knowledge of various funds and grants (eg EDG, LTIF, NMRC, IAF-ICP, IAF-PP) and expertise in proposal development is preferred. Strong interpersonal and communication skills to collaborate effectively with industry partners, students, and stakeholders. Ability to work collaboratively in a cross-functional and multidisciplinary healthcare environment. Proactive approach to continuous learning and professional development. Proficient in presentation of healthcare innovation concepts and outcomes. Possess good analytical and critical thinking skills for healthcare problem-solving. Shows good initiative and takes ownership of work undertaken. Project management skills, including planning, execution, and monitoring of healthcare innovation projects.

Ref.: 536698 Work type: Full-time Department: Department of Chemistry (25200) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for the appointment of a Post-doctoral Fellow (several posts) in the Department of Chemistry (Ref. 536698), to participate in a cutting-edge research programme on “Smart Power Systems for Autonomous Platforms,” focusing on next-generation technologies, including drones, robotics, and self-driven laboratories. The appointees will engage in research on the development of intelligent hybrid power architectures to support autonomous operation in chemical and materials synthesis environments, including the implementation of smart synthesis workflows using robotic hands and manipulators. The role will involve contributions to the design, integration, and control of power systems for safe, adaptive, and resilient autonomous research platforms. Qualifications: Applicants should possess a Bachelor’s degree in Electrical and Electronic Engineering or a closely related discipline, and a doctoral degree in Power System Design and Development or a relevant field. They should demonstrate a strong track record of research and expertise in electric power system engineering, particularly in smart power hybridisation. Preference will be given to candidates with experience in multidisciplinary research, especially in areas involving autonomous or robotic systems. Applicants should also show evidence of a strong publication record and excellent scientific communication skills. Responsibilities: Design and develop advanced electric power system architectures for autonomous platforms and laboratory systems. Lead research in smart electric power hybridisation (e.g., batteries, supercapacitors, fuel-based systems, renewable integration). Develop control and energy management strategies for self-driven power systems. Support implementation of autonomous chemical and materials synthesis operations, including robotic-hand-enabled synthesis tasks. Build and validate simulation and experimental prototypes for drones, robotic systems, and autonomous laboratory infrastructure. Collaborate across multidisciplinary teams (electrical engineering, robotics, control, AI, chemistry, materials science, and mechanical engineering). Publish high-impact research outcomes and contribute to project reports and grant activities.  Desirable Skills: Experience with embedded power electronics and real-time control systems. Hands-on experience with UAV/drone, robotic, or autonomous platform power systems. Exposure to autonomous laboratories, especially for chemical/materials synthesis. Experience integrating power systems with robotic manipulators/hands for smart laboratory operations. Proficiency in modelling/simulation tools (e.g., MATLAB/Simulink, PSCAD, PLECS, or similar). Experience in prototype development, testing, and system validation. What We Offer: Opportunity to work on frontier technologies in autonomous energy and laboratory automation. Access to advanced facilities for robotics, autonomous synthesis, and power system prototyping. Strong multidisciplinary collaboration environment and career development support. The appointment will commence as soon as possible for 1 year, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. Application Requirements: The University only accepts online applications for the above posts. Applicants should apply online with the following: Cover letter outlining your suitability for the role Full Curriculum vitae (including publications) Brief research statement (maximum of 2 pages) Contact details of 2–3 referees Enquiries about the post should be sent to Professor Z.X. Guo at zxguo@hku.hk. Application The University only accepts online applications for the above posts. Review of applications will start as soon as possible and continue until July 24, 2026, or until the posts are filled, whichever is earlier. Applications close: Jul 24, 2026 (HK Time)