Universidad Pontificia Bolivariana (UPB)

Overview Deliver core courses (e.g., Mathematical Modeling, Data Mining, Operations Research) and mentor students in the field of digital technology. Design engaging curricula, integrate industry practices, and assess student progress via projects/exams. Collaborate on program development and stay updated with technological advancements. We are seeking candidates for all faculty ranks (Lecturers, Associate Professors, Full Professors). Job Responsibilities Deliver interactive lectures and hands-on labs. Assess student performance through exams, projects, and feedback. Align the curriculum with standards and accreditation requirements. Support students doing internships Possess clear and focused research interests, conduct independent research in relevant fields, actively participate in the guidance of student competitions and academic projects, and provide supervision for students' degree‑related research in accordance with program arrangements. Proactively engage in research projects coordinated by the program team, and actively apply for research projects at the university, provincial, and national levels, as well as industry cooperation projects. Job Qualifications Skills: Preference for Python; expertise in Data Science and Mathematical Modeling. Experience: 2 years industry/academic experience or PhD, international experience (overseas study / overseas work experience) Education: Master’s+ in Data Science related field (international education/preference for overseas experience). Competencies: Bilingual (English/Chinese); strong organizational, problem-solving skills, and technical communication skills. Expected Onboarding Date August 2026 Salary and Benefits Competitive Salary in the Market (13th Month Salary) Allowance: Travel Allowance / Phone Allowance / High Temperature Allowance, Etc. 5 Types of Social Insurance and 1 Housing Provident Fund Commercial insurance Transitional Apartments Arrangement Working environment that is open to the world and strongly oriented towards sustainability, diversity and internationality Paid Holidays Statutory Holidays (13days) Annual Leave (25 days) Paid Sick Leave Paid Marriage Leave Paid Maternity Leave Paid Paternity Leave Parental Leave How to apply Please prepare the following documents: Current English CV(including full publication list) Cover Letter(addressed to the President) 2 Reference Letters Teaching Qualification Documents, Qualifications (if available) Documents certifying the professor’s (if available) Academic Degree Certificates Please import all files into one PDF Please name the PDF as ” Position – Your Name” Please send all files to recruitment@hibiuh.edu.cn

The Machine Learning for Health team at the Institute for Molecular Medicine Finland (FIMM), University of Helsinki, is currently seeking a highly-motivated postdoctoral researcher to join our team. Project overview Healthcare systems collect vast amounts of heterogeneous data routinely through interactions with individuals. Our mission is to use machine learning and data science to find better ways to utilize this data in healthcare planning, personalized medicine and targeted recall-studies. In this position, you will be a part of an expanding team working on difficult and meaningful challenges together with clinicians. You get to work with multimodal nationwide Finnish health data from 7 million individuals including for example medication purchases, laboratory measurements, clinical notes and imaging. Your main project will involve building and studying multimodal health trajectories on a nationwide scale to catch increasing disease risk as early as possible. In addition, this data, and similar datasets from our collaborators across the Nordics, Baltics and Europe present a fantastic opportunity to pursue your own ambitious research goals. Our other research directions of interest include privacy of AI models trained on health data as well as training AI models on health data across national borders. Key responsibilities Design, implement and benchmark machine learning models for large-scale health datasets consisting of diverse information including structured medical history, demographics, clinical notes, laboratory measurements, omics and genetics. Collaborate closely with other team members, and national/ international collaborators. Assist other team members in experiment planning, data processing and interpretation of results. Contribute to writing scientific articles, conference presentations, grant applications and supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form of high-quality scientific publications, experience working with real-world health data is a plus Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data fusion is highly desirable Ability to work independently, as well as collaboratively in interdisciplinary and international research teams Willingness to supervise junior researchers and develop your supervision skills Excellent command of spoken and written English Research group The Machine Learning for Health team focuses on applying artificial intelligence to derive meaningful insights from large, real-world health and biomedical datasets. The team is led by Dr. Tuomo Hartonen. We have active collaborations with leading researchers in the EU, UK and US, with opportunities for international research visits during the employment. We collaborate closely with several research groups at FIMM and at ELLIS Institute Finland. We work with diverse international datasets ranging from Finnish and French national health registries to biobank studies such as FinnGen (Finland), UK Biobank (UK) and All of Us (United States). Contract and salary The position is initially offered for two years, and can be possibly extended. A trial period of six months will be applied. The starting salary will be ca. 3900-4100 euros/month, depending on the appointees’ qualifications and experience, and is based on the University of Helsinki salary system. The University of Helsinki offers comprehensive services to its employees, including occupational health care, support in access to high quality sports facilities, and vast opportunities for professional development. Standard Finnish pension benefits are provided for university employees. Apply at latest by August 16th, 2026. The call may be extended until a hiring decision is made. How to apply: The application should include: A one-page letter stating the motivation for applying to this position. A maximum two-page CV. List of scientific publications. An official copy of the PhD degree certificate. Contact information of 2 references (name, relation to candidate, e-mail and telephone number) who have agreed to provide a written statement on behalf of the applicant. Note that the references will be contacted only at a later stage of the process. To apply, please submit the application through the University of Helsinki electronic recruitment system by clicking on Apply for job. Internal applicants (i.e., current employees of the University of Helsinki) please submit your applications through SAP Fiori https://msap.sap.helsinki.fi. For further information on the position, please contact Dr. Tuomo Hartonen (tuomo.hartonen@helsinki.fi).  A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers The Institute for Molecular Medicine Finland (FIMM) is an international research unit focusing on human genomics and personalized medicine at the Helsinki Institute of Life Science (HiLIFE) of the University of Helsinki - a leading Nordic university with a strong commitment to life science research. As part of Academic Medical Center Helsinki in Meilahti campus FIMM collaborates locally with the Faculty of Medicine, Helsinki University Hospital and National Institute for Health and Welfare. FIMM is part of the Nordic EMBL Partnership for Molecular Medicine, composed of the European Molecular Biology Laboratory (EMBL) and the centres for molecular medicine in Norway, Sweden and Denmark, and the EU-LIFE Community.

Position Details Three-year contract I Full Time Academic Level B | $115,871 to $137,122 pa plus 17% superannuation View Position Description Location: Bedford Park / Kaurna Country About the Role The Lecturer in Research Training is a university-wide role within the Flinders University Research Training Hub, focused on delivering innovative, high-quality researcher education across career stages, from Higher Degree by Research (HDR) students, through to senior researchers. This position designs and delivers inclusive, flexible research training that builds capability, strengthens research practice, and supports successful HDR pathways for diverse cohorts, including industry professionals, Aboriginal and/or Torres Strait Islander peoples, and international students. Working at the intersection of learning design, digital education and researcher development, you will contribute to research training that is practical, future-focused and responsive to evolving research and workforce needs. In this position, you will: Design, deliver and continuously improve innovative researcher training programs across HDR pathways and research career stages Develop engaging, technology-enhanced learning experiences using contemporary online and blended delivery approaches Create and coordinate postgraduate research training topics and pathways that support diverse and non-traditional HDR cohorts Provide mentoring, guidance and capability development support to HDR students, researchers and external stakeholders Contribute to curriculum development, quality assurance, and continuous improvement of research training programs Build collaborative relationships with internal and external stakeholders to strengthen researcher development and HDR engagement About You You are an experienced and innovative tertiary educator with a strong background in learning design, and research training or postgraduate education. You are motivated by creating high-quality learning experiences that support researcher success. You demonstrate: A PhD or EdD (or equivalent doctoral qualification) Significant experience in tertiary teaching, researcher development or postgraduate education, with evidence of teaching excellence Ability to design and deliver innovative curricula in online, blended and flexible learning environments Strong understanding of HDR pathways, curriculum design and academic quality assurance processes This position is open to candidates with Australian Work Rights. Relocation support is provided. Life at Flinders We're transforming and investing in people and facilities to create contemporary, stimulating, and satisfying learning and work environments that reflect our core values of excellence, innovation, courage, and integrity. Flinders is refocusing its strategic priorities with the aim of elevating its performance to be a top ten Australian university, and amongst the top 1% in the world. Reaching beyond the limits of buildings, borders, and backgrounds, ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders? 17% Superannuation + salary packaging options Flexible working arrangements Wide range of professional development activities and services, including exclusive staff study offers We embrace diversity and promote equity and inclusion for all students and staff Vibrant campus life and amenities including on campus health care services, gym and childcare centre(Bedford Park, South Australia). Our Commitment to Reconciliation and Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres Strait Islander peoples. We are committed to progressing Indigenous advancement in education, research, employment, and wellbeing, and strongly encourage applications from Aboriginal and Torres Strait Islander peoples for all Flinders vacancies. Please see here for our Reconciliation Action Plan Please see here for our Indigenous Workforce Strategy Prescribed Conditions for Employment Flinders University will require a current completed Nationally Coordinated Criminal History Check and Gender Based Violence Declaration which is satisfactory to the University. The contract of Employment is conditional upon the receipt of these completed compliance checks. A disclosable outcome will not automatically disqualify a candidate from consideration. Each case will be assessed on its individual merits and relevance to the inherent requirements of the role. How to Apply and Information As well as a CV, you are required to submit a Suitability Statement of no more than 3 pages, addressing Key Position Capabilities of the position description. For more information regarding this position, please contact Professor Tim Cavagnaro. Applications to be submitted before 10:00 pm (ACST) on Sunday, 9 August 2026. Please note, late applications and applications sent via agencies will not be accepted. At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. Certification Applications to be submitted before 10.00pm: 09 Aug 2026 At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. Flinders. Fearless.