Working Student - Data Science (Research & Predictive Analytics)

We are seeking an ambitious applied researcher who wants to work at the forefront of data-driven nutrition and health. This is a unique opportunity to bridge mathematics, statistics, AI, and biomedical research in a highly interdisciplinary research environment. About us Fraunhofer-Chalmers Centre (FCC) is a leading research centre in industrial mathematics, modelling, simulation, optimisation, and data analytics. We operate at the interface between academic research and industrial needs, often in interdisciplinary projects where mathematics, data, and domain expertise meet. Together with the nutrition research group led by Professor Rikard Landberg at Chalmers University of Technology, we conduct advanced research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation of the role of diet in health and disease and establish personalized dietary strategies for more effective disease prevention. In many cases, the work involves time series data, dynamic processes and phenomena, where both methods and interpretation must account for temporal dynamics. Data typically comes from intervention studies conducted in Gothenburg and or from large cohorts and biobanks from international collaborators. To secure and further develop this important collaboration, we are now recruiting an applied researcher with a strong quantitative profile and interest in nutrition, health, or medicine. Your role As an applied researcher in this area, you will: Act as a key person in the collaboration between FCC and the nutrition research group at Chalmers. Lead and conduct research projects in data-driven nutrition, such as:analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome, etc.) development of predictive dynamical models and digital decision-support tools for nutrition and health method development in causal inference, integration of heterogeneous data sources, uncertainty quantification Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Serve as a bridge between domain researchers (nutrition, medicine, food science) and quantitative experts (mathematics, statistics, AI&ML, systems engineering). Supervise, collaborate, and support PhD students and postdocs involved in joint projects. Your profile We are looking for someone who: Holds a PhD in Applied Mathematics, Mathematical Statistics, Automatic Control, Signal Processing, Systems Engineering, Data Science, or a related field. Has experience in data-driven research, preferably related to biomedicine, nutrition, epidemiology, food science, or public health. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible analysis workflows. Enjoys working in interdisciplinary environments and is curious about understanding biological/nutritional research questions in depth. It is meritorious if you also: Have experience working with cohort data, registry data, clinical studies, or omics data. Have previously worked in projects involving both academic and industrial/external partners. Have experience supervising PhD students, postdocs, or junior researchers. Can communicate in both Swedish and English; excellent English is required. What we offer With us, you will: Have a unique opportunity to combine advanced quantitative and data-driven methods with cutting-edge research in biomedicine, nutrition, and health. Work in a strong and long-term collaboration between Fraunhofer-Chalmers Centre and Chalmers division of Food and Nutrition Science, with access to both international academic and industrial networks. Influence the direction of a strategically important initiative in data-driven nutrition and health. Be part of a creative, collaborative, and international research environment with good opportunities for personal and scientific development. Employer: Fraunhofer-Chalmers Research Centre for Industrial Mathematics (Fraunhofer-Chalmers Centre, FCC)   Employment: according to agreement   Location: Gothenburg, Sweden   Department: Systems and Data Analysis (in close collaboration with Chalmers)   Application procedure The application should be written in English and attached as PDF-files, containing as specified below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.  - CV  - Publication list - Transcript of grades - Personal letter with: A brief description of your research profile and how it relates to nutrition/health A brief motivation as to why you are interested in this position.  Please apply no later than 16th August 2026. Evaluation of applications will be done on a continuous basis. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.  For questions, please contact:   Mats Jirstrand, Head of Department, Systems and Data Analysis, Fraunhofer-Chalmers Centre E-mail: mats.jirstrand@fcc.chalmers.se Phone: +46 730 794303

About the position​ We invite applications for a full time permanent position as Associate Professor in Pharmacoepidemiology and Health Data Analytics at the Section for Pharmaceutics and Social Pharmacy, Department of Pharmacy, University of Oslo. About the Department and what they are looking for in this position​ The Department of Pharmacy at the University of Oslo is seeking a highly motivated, dynamic and innovative researcher with strong scientific, educational and collaborative skills in pharmacoepidemiology, health data analytics and real-world evidence generation.  The Department has a strong interdisciplinary environment covering key areas of pharmaceutical sciences. Through cutting-edge research, extensive national and international collaborations, and an integrated five-year Master’s programme in Pharmacy, the Department is a leading contributor to pharmaceutical research and education in Norway. We maintain close collaborations with healthcare services, regulatory authorities, public health institutions, and the pharmaceutical and health technology sectors. The successful candidate must be able to teach social pharmacy within the professional pharmacy programme at the Department. The position will be affiliated with the Pharmacoepidemiology and Drug Safety (PharmaSafe) research group in the Section for Pharmaceutics and Social Pharmacy. The research group has extensive experience in pharmacoepidemiology and real-world evidence generation using nationwide Norwegian health registries and population-based cohorts to study use, effectiveness and safety of medications and vaccines. Combined with access to advanced e-infrastructure, secure analysis platforms and strong national and international collaborations, the research environment offers unique opportunities for high-impact research using linked healthcare data.    The successful candidate is expected to strengthen the Department’s research in pharmacoepidemiology, health data analytics and AI-enabled real-world evidence generation with a particular emphasis on the innovative use of large-scale healthcare datasets. The Department will relocate to the new Life Science Building (Livsvitenskapsbygningen- UiO:Livsvitenskap) in 2026. This move will provide unique opportunities for interdisciplinary collaboration with researchers in epidemiology, biostatistics, informatics, machine learning, artificial intelligence and precision medicine. The Department leads the UiO:Real-World Evidence (UiO:RWE) convergence environment, a strategic interdisciplinary initiative in the Life Science building that promotes innovative use of health data and real-world evidence across the University. The successful candidate will become part of this interdisciplinary environment and contribute to its research, educational and collaborative activities. Teaching and supervision are important part of the position, and the overall workload is typically balanced between research, teaching and academic leadership.  The Department is a partner in the national research school in epidemiology, EPINOR, through which PhD candidates gain access to specialized courses, networking opportunities, and a broad national research community. The successful candidate will be expected to contribute to EPINOR's research and training activities and help strengthen the Department's role within the network. Your main tasks will be​ • Conduct and lead internationally competitive research within pharmacoepidemiology, health data analytics, and the use of machine learning for real-world evidence generation. • Develop and apply innovative methods for analysing large-scale healthcare data, including advanced epidemiological, statistical, computational approaches.  • Initiate, lead and contribute to externally funded national and international research projects.  • Teach and supervise students at bachelor, master, PhD and postdoctoral level at the Department of Pharmacy.   • Contribute to the development of courses and educational activities within pharmacoepidemiology and health data science.  • Contribute to the Department's strategic initiatives within health data analysis and digital life science, including the UiO:Real-World Evidence (UiO:RWE) convergence environment and the Norwegian Research School in Epidemiology (EPINOR).  • Strengthening collaboration with healthcare services, regulatory authorities, public health institutions, industry and national and international research networks.  • Participate in academic leadership, including course development, examination duties, and other administrative responsibilities as required.   More information about the position​ Applicants must document academic qualifications in their field, equivalent to an Associate professor position. The successful applicant must be able to teach at all levels and to supervise Master and PhD students.  The successful applicant may furthermore be required to take on other teaching duties and administrative tasks, by request from the Department or the Faculty of Mathematics and Natural Sciences.  What skills are important in this role?​ Required qualifications that must be documented in the application::​ • The successful applicant must have completed a PhD in pharmacoepidemiology, epidemiology, health data science, biostatistics or closely related discipline. • A master’s degree in pharmacy, medicine, public health or pharmacoepidemiology or an equivalent relevant field.  • Documented knowledge of European therapy guidelines and pharmaceutical traditions is required. Strong candidates familiar only with American therapy guidelines and traditions may also be considered but must demonstrate a clear plan and strong motivation to acquire knowledge of Norwegian and European systems upon appointment. • A strong and consistent scientific track record, with publications in high-quality international peer-reviewed journals relevant to the position. Particular emphasis will be placed on scientific output from the past five years. • Demonstrated ability and clear potential to attract external research funding. • Pedagogical qualifications and teaching and supervision experience at all levels will be an important factor in the evaluation process and should be well documented in a teaching portfolio. The applicant should describe her/his qualifications in view of the Scholarship of Teaching and Learning (SoTL) framework which includes: • Focus on student learning • A clear development over time • A researching approach • A collegial attitude and practice • The successful candidate who at the time of appointment cannot document sufficient teaching qualifications (minimum formal requirement is a 200 hours pedagogical programme) will be required to obtain such qualifications within a two-year period. • Teaching in the pharmacy program is conducted primarily in Norwegian. The successful candidate must demonstrate proficiency in English and a Scandinavian language sufficient for teaching, supervision and administrative duties. Candidates who do not document Scandinavian language proficiency at minimum B2 level at the time of appointment must demonstrate clear prior ability to acquire languages and commit to reaching the required level in Norwegian within three years. Applications that do not convincingly demonstrate both ability and commitment to meeting this requirement will not be prioritised. Desired qualifications:​ • Strong experience in pharmacoepidemiology, including advanced epidemiological methods and work with large healthcare data sources (e.g. registries, EHRs). • Expertise in health data analytics, including advanced statistical modelling, machine learning and/or artificial intelligence applied to healthcare data. • Experience in regulatory science, pharmacovigilance or real-world evidence generation.  • Strong programming skills and experience using statistical software and programming languages commonly applied in health data research, such as R, Python, SAS, SQL or equivalent. • Experience with common data models (e.g. OMOP, EPICORE or similar), large-scale healthcare data infrastructures, and reproducible research practices.  • Documented experience in initiating, leading and managing research projects and collaborations.  • Experience supervising PhD candidates and postdoctoral researchers. • Participation in interdisciplinary research environments and academic leadership roles. • Experience with academic administration or institutional responsibilities. • An established international research network and active collaboration profile.   All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation, the Sanctions regulation, and the national security regulation. What are we looking for in you?​ We are seeking a candidate who demonstrates:​ • High motivation, work capacity and commitment to academic excellence, with the ability to independently drive research, teaching and collaborative activities forward. • A clear sense of scientific direction and the ability to develop a sustainable and competitive research profile. • Strong collaboration and networking skills, combined with the ability to take scientific and organisational leadership. • The ability to contribute to a positive, inclusive, and productive research and teaching environment. • Excellent communication skills, including the ability to explain complex scientific concepts clearly to students, colleagues and broader audiences. • A constructive and collegial working style, with willingness to contribute to shared responsibilities within the Department. • A genuine interest in contributing to education in pharmacy and social pharmacy, including professional training programmes.   The successful candidate should have an international profile with respect to the above criteria. The candidate for this position will be selected based on excellence and fit with the section’s research profile. We can offer you​ • An exciting academic position in one of Europe’s most data-rich health research environments, with access to unique national health registries, advanced e-infrastructure and secure data platforms. • Modern facilities in the new Life Science Building. • Opportunities for academic leadership and career development. • Committed colleagues in a good working environment.  • Good welfare schemes. • Opportunity of up to 1.5 hours a week of exercise during working hours.  A workplace with good development and career opportunities. • Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes. • Salary in position as Associate Professor (position code 1011) in salary range NOK from 750 000 - to 950 000, ​depending on competence and experience. From the salary, two % is deducted in statutory contributions to the State Pension Fund.  We need different perspectives in our work​ University of Oslo is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at  uio.no. We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues, could you be the next one? We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures. If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here. We hope you will apply for the position with us.   How to apply​ The application must include:​ • Application letter • A research position paper (1–4 pages) describing the applicant’s vision and scientific ambitions for the near future, as well as strategies for collaboration and for identifying synergies with the existing group. • A detailed CV, including a complete list of education, positions, pedagogical experience, administrative management, project acquisition and coordination experience, and other qualifying activities. • Copies of educational certificates, PhD diploma, transcript of records and letters of recommendation • A complete list of publications and academic merits and awards (if not included in the CV) • Full text of up to 10 selected scientific publications the applicant wishes to include in the evaluation • A document discussing the importance, interrelation, and relevance of the selected papers for this position • Educational portfolio of 3–6 pages documenting educational competence and experience, including a reflection note in which your own teaching practice and view of learning is anchored in the SoTL framework (focus on student learning, development over time, a researching approach and a collegial attitude and practice)  • List of reference persons: 2–3 references (name, relation to candidate, e-mail and phone number) Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for this job". When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language. General information​ As a general rule an interview will be used in the appointment process, usually supplemented with a trial teaching session. The basis for assessment will be the scientific production of the applicant, the teaching portfolio, pedagogical and educational qualifications, the applicant’s qualifications within leadership and administration, other qualifications as well as general personal suitability for the position. In ranking the competent applicants, the full range of qualifications will be considered and explicitly assessed. Rules for appointments to associate professorships.  https://www.uio.no/english/about/regulations/personnel/academic/rules-appointment-professor.html Rules for the assessment and weighting of pedagogical competence for appointments to permanent academic posts which include teaching duties:  https://www.uio.no/english/about/regulations/personnel/academic/rules-basic-pedagogical-competence.html Guide for applicants for Professor and Associate professor positions - University of Oslo https://www.uio.no/english/about/regulations/personnel/academic/guide-applicants.html According to the Norwegian Freedom and Information Act (Offentleglova), information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure. The University of Oslo has an agreement for all employees, aiming to secure rights to research results, see: http://www.uio.no/english/for-employees/employment/work-results/