Acadia University

Ref.: 534495 Work type: Full-time Department: Department of Surgery, School of Clinical Medicine (21700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Assistant Professor in the Department of Surgery, School of Clinical Medicine (Ref.: 534495), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and consideration for tenure before the expiry of a second three-year fixed-term contract. Applicants should possess: (i) a Ph.D. degree or equivalent in Surgery or a related discipline; (ii) a strong track record in breast surgery research, in particular on molecular genetics, next generation sequencing, cancer biology, tumour microenvironment, and clinical translational research for breast cancer; (iii) outstanding achievements in high-quality research as indicated by publication record and external grants; (iv) evidence of international recognition; (v) a demonstrated ability to work across disciplines towards new research initiatives that fit with the Department’s research areas; and (vi) a strong commitment to undergraduate and postgraduate teaching. The appointee is expected to conduct independent and collaborative scholarly research and attract competitive grants to maintain active research programmes. He/She will take part in teaching undergraduate and postgraduate programmes, and supervise research postgraduate students. He/She is also expected to perform administrative duties. Information about the Department can be obtained at http://www.surgery.hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salary tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will also be provided as applicable. The University only accepts online application for the above post. Applicants should apply online and provide (a) an executive summary describing the most outstanding accomplishments and qualifications; (b) an up-to-date curriculum vitae and a publication list highlighting the best papers; and (c) a 1-page description of the future career and research plan. Review of applications will start on April 20, 2026 and continue until May 19, 2026, or until the post is filled, whichever is earlier.

Job Purpose 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.  The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to conduct applied AI research in visual generation models, agentic AI, focusing on applications in creative content generation.  Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Conduct applied AI research in visual generation models, agentic AI. Collaborate with industry partners to develop AI solutions to address real-world problems. Develop and maintain research prototypes and software. Publish impactful research findings and present work for knowledge sharing. Work independently, as well as within a team, to ensure high-quality delivery.  Job Requirements Have relevant competence in the areas of computer vision. Have a Bachelor’s or Master’s degree in computer science, data science, AI, or related fields. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.

Aalto University is looking for an Postdoctoral Artificial Intelligence Research Software Engineer to a postdoctoral-level position. The desired start dates would be as soon as possible in 2026. Are you more of a programmer than your researcher colleagues?  Are you more of a researcher than commercial developers? Do you want a career that involves research and science but isn't the academic tenure track? The Academic Research Software Engineer position is your next step on that path. This position will be similar to a postdoc, but with an emphasis on research infrastructure, HPC,and engineering rather than preparation for an academic career path. You will be involved in research, but more focused on learning and improving how computing, workflows, and data are used in research than finding your own novel research results and publishing them. You will work with research groups and be affiliated with Aalto Scientific Computing (ASC). You'll serve as an intermediary between the two. Compared to the staff of ASC, you will be directly working within research groups, much more involved in day-to-day research, follow projects for a much longer period, and more involved in publications. Compared to a typical academic position, you will have a joint affiliation with ASC and get extra training in research engineering. There will be less emphasis on novel results for the sake of novelty, and more on applying and developing best practices in the way the research is done. In this position, you will: Serve as the local research software engineer for your research group(s) and improve the use of computing among all group members. Stay up to date with the latest HPC, AI, and general computing/data management practices, evaluate latest developments, and implement whatever is most suitable. Possibility to take part in publications as a research engineer. Provide one-on-one and group research support from a software, programming, Linux, data, and infrastructure perspective: short-term projects helping researchers with specific tasks, so that the researchers gain competence to work independently. Provide good role models of best open science practices. As needed and depending on interest, teaching and other research infrastructure support. General qualifications: As expected for a computational-science postdoc or doctoral student position in your field, with a special focus on high-quality computation and data management This particular call emphasizes a knowledge of AI research, performance optimization of AI training and inference, and hands-on-experience with PyTorch or similar. This should be complemented with general experience in software development, computing, GPU computing, and data management for the support of AI projects.  An ideal candidate also has a good understanding of recent advancement in AI and capability to read and implement research papers. Important skills: Desire to mentor and work with other researchers with understanding and compassion. Ability to tackle any problem with a researcher's mindset and a developer's passion for technology. Good communication and organizational skills, independent working style as well as flexibility in changing situations. Experience or knowledge of the principles of open source software, open science, and software development tools such as version control. Please see https://scicomp.aalto.fi/rse/become-a-rse/ for more information on what kind of skills we value - or more precisely what you are likely to learn. Good skills and experience in written, spoken, and collaborative work in English. What we offer: A career path optimized for transition to industry. You will be affiliated with the dynamic Aalto Scientific Computing team, where you will learn from some of the best research IT specialists in Finland. Co-working within top-quality research groups, getting experience in a wide variety of fields and developing an extensive network of scientific contacts. This includes contacts to the Aalto startup scene and community. A way to be close to the research process while focusing on interesting computational problems and not the publication process. Mentorship to improve your software, data, and computing skills – you are expected to engage in plenty of professional development. Open Source is our expectation. All (or most) of your code may be open source and may be added to your public CV, depending on the needs of researchers. All other standard benefits of Aalto as an employer: pleasant campus, occupational healthcare, a sustainable workplace, support and coaching, and robust opportunities for professional development. Read more. Salary will be according to the Aalto University pay scales for postdoctoral researchers. The primary workplace is Otaniemi, Espoo (Helsinki region), Finland. To apply successfully: Please include a separate cover letter (~1-2 pages). Please try to write your cover letter avoiding information like name, gender, nationality or other demographic information that is not directly related to why you would be the right person for this position (this includes, for example, a signature on the letter) unless you think it benefits you. This will assist in anonymous recruitment possibilities. The letter could include, for example: Why being a Research Software Engineer is for you, experience relevant to this call's special topics (see above) any special background, experiences, or skills you will bring, past research experience, if any past technical teaching or mentoring experience, past software development experience (even informal self-learning), past Linux, command line, or scripting experience, highlight one (or a few) collaborative projects you have taken part in and your role within it, and what you bring and what you intend to learn, and why you want to work in, or any connections to, Finland or Aalto University (optional, if there are motivating factors) (Presence in Finland is required, and residence in the Helsinki metropolitan area is strongly recommended). A normal professional or academic CV including a list of your technical and programming tools and level of proficiency (e.g. basic/proficient/expert). This is the time to show the breadth of your experience. Github link or other public sample code.  If not available, whatever is possible to demonstrate past programming experience. Please highlight one or two of your outstanding research software projects. Read this blog post for hints on applying. The job will stay open until it is filled, however please apply by 31.3.2026 23:59 (Finnish time) for consideration in the first round. For further information, please contact Staff Scientist Richard Darst at richard.darst@aalto.fi. 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.