Petroleum Training Institute (PTI)

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills.

The SIT x NVIDIA AI Centre (SNAIC) is seeking a business-driven professional to lead industry partnerships and growth initiatives that expand the Centre’s commercial and strategic footprint. The role is responsible for identifying high-value collaboration opportunities, shaping business models for applied AI projects, and securing funding or co-development commitments that contribute to SNAIC’s long-term sustainability. Working at the intersection of technology and business, this role acts as SNAIC’s front-facing dealmaker, translating market demand, ecosystem signals, and AI innovation into viable partnerships across areas such as Generative AI, Large Language Models, Computer Vision, Digital Twins, and Multimodal AI. Success in this role requires strong commercial instincts, the ability to engage both technical and executive stakeholders, and the discipline to drive opportunities from early exploration through signed agreements and delivery. Key Responsibilities  1. Industry Engagement & Business Development Identify, qualify, and engage potential industry, government, and ecosystem partners for applied AI collaboration opportunities. Drive the deal process from initial discussion through to agreement. Manage active partnership accounts and track delivery milestones to ensure commitments, timelines, and outputs are met. 2. Marketing, Outreach & Positioning Contribute to industry events, workshops, showcases, and demos that strengthen SNAIC’s visibility and lead generation. Support development of partnership assets such as case studies, pitch decks, project proposals, and success stories. Work with internal teams to amplify SNAIC’s applied AI capabilities to targeted sectors and communities. 3. Data, Reporting & Pipeline Management Maintain an up-to-date CRM pipeline of leads, partners, proposals, and project statuses. Generate periodic dashboards and management reports on engagement performance, deal progress, and partnership outcomes. Ensure data accuracy and traceability across all stages of the partnership lifecycle. Job Requirement  Bachelor's degree in Business, Computer Science, Engineering, Data/AI, or a related field. 2–5 years of experience in business development, partnerships, innovation projects, or roles involving both technical and commercial stakeholders. Comfortable working with both technical and non-technical stakeholders, ideally in a cross-functional environment. Working understanding of AI concepts, use cases, and industry trends, with interest in areas such as Generative AI, LLMs, Computer Vision, or Digital Twins. Exposure to NVIDIA’s AI ecosystem (e.g., Omniverse, CUDA, DGX, NGC) is a plus, but not required. Strong communication and relationship management skills, able to engage industry partners and internal stakeholders confidently. Good writing and presentation abilities for proposals, pitch decks, and briefing materials. Organised, proactive, and able to manage multiple partnership pipelines, timelines, and reporting needs. Comfortable using CRM tools, dashboards, or project tracking systems. Key Competencies Understanding of AI and emerging technologies. Excellent stakeholder management and communication skills, able to liaise confidently with both engineers and executives. Strong proposal writing, pitch deck creation, and presentation skills; able to tailor messaging for both technical and executive audiences. Able to interpret partner needs and convert them into feasible project scopes, requirements, or collaboration models. Organized, proactive, and able to manage multiple projects concurrently. Comfortable with CRM tools and project tracking. Takes ownership of tasks, anticipates next steps, and moves opportunities forward without waiting for instructions.

The Faculty of Medicine at the University of Helsinki invites applications for the position of a part-time (35%)  ASSISTANT PROFESSOR / ASSOCIATE PROFESSOR / PROFESSOR  The field of the position is medical genetics and the language of instruction is Swedish. The position may be filled as assistant professor, associate professor or professor depending on the candidates’ merits and career stage. The professorship in medical genetics is associated with a research director’s position at Folkhälsan Research Centre. Applicants must submit separate applications for the professorship and the research director’s position. An appointee to the position of assistant professor in the tenure track system shall hold a doctoral degree, have the ability to conduct independent scholarly work and have the teaching skills necessary for the position. In addition, applicants for assistant professorships shall demonstrate their ability and motivation for an academic career through publications and other means. When considering applicants’ qualifications, account shall be taken not only of their research work and teaching qualifications, but also of their success in obtaining external research funding, international research experience and other international experience. An appointee to a professorship shall hold a doctoral degree and have top-level scholarly qualifications, experience in the supervision of scientific research, as well as the ability to provide toplevel research-based teaching and to supervise theses and dissertations. In addition, the appointee shall present documentation of international cooperation in the field of research that he or she represents. Holders of professorships shall also have the skills necessary for serving as an academic leader. When considering the applicant’s qualifications, attention shall be given to scientific publications and other research results of scientific value, teaching experience and pedagogical training, the ability to produce teaching material, other teaching merits and, if necessary, a demonstration of teaching skills as well as the applicant’s participation in doctoral education. Account shall also be taken of the applicant’s activity in the scientific community, success in obtaining external research funding, international research experience and international elected positions as well as leadership and interaction skills. To ensure that the applicant’s ability to supervise theses and dissertations meets the requirements of the Faculty of Medicine, he or she must have completed the supervision of at least one doctoral dissertation. The requirement for a supervised dissertation must be met by the end of the application deadline. The person performing the university's teaching and research position is required to master the language in which he or she must provide teaching. Successful completion of the task also requires good English language skills. When the language of instruction is Swedish, the language proficiency recommended for successfully attending to the duties of the position corresponds with level C2of the Common European Framework of Reference for Languages. At the faculty’s discretion, level C1 of the Common European Framework of Reference for Languages may be accepted as a minimum Swedish language proficiency requirement. More information: Instructions for applicants of teaching and research positions | University of Helsinki and https://www.finlex.fi/fi/laki/alkup/2009/20090770. The assistant professor /associate professor /professor participates in undergraduate, postgraduate and continuing education in the field, including small-group and lecture-based teaching. The professor’s duties also include carrying out and supervising scientific research, following related developments in research, and participating in community relations and Finnish and international cooperation in the field. In addition, the professor’s duties include other tasks assigned to the department. The appointee is required to participate in clinical teaching, therefore the person selected for the position must be a licensed physician or have a license to work as a doctor. The salary will be based on level 7 (assistant professor) and 8-10 (professor) of the demands level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal work performance. Instructions, requirements for language skills and models are available on the Faculty’s website at https://www.helsinki.fi/en/faculty-of-medicine/faculty/recruitment  Please submit your application (in PDF-format) using the University of Helsinki Recruitment System via the link Apply for job. Applicants who are employees of the University of Helsinki are requested to leave their application via the SAP HR portal (https://saphr.it.helsinki.fi/irj/portal)  The closing date for applications is May 31, 2026. The position of research director associated with the professorship must be applied according to Folkhälsan’s instructions: https://folkhalsan.rekrytointi.com/paikat/?o=A_RJ&jgid=1&jid=1658&lang=se If the process for appointing the research director is cancelled or if Folkhälsan and the Faculty of Medicine appointment committees put forward differing proposals, the process for appointing the Faculty of Medicine professor/assistant professor will be cancelled.  If the appointee to the professorship/assistant professorship resigns from the position of research director at Folkhälsan, his or her employment contract with the University of Helsinki will also be terminated. Further information about the position may be obtained from the Director of Medicum, Professor Eero Mervaala, eero.mervaala@Helsinki.fi, 029 412 5355. Enquiries regarding the recruitment process: HR-manager Anna Leppäkoski, anna.leppakoski@helsinki.fi Technical support with the recruitment system: recruitment@helsinki.fi  Please see more information for international staff and/or about the university as an employer: https://www.helsinki.fi/en/university/working-at-the-university.