Southeastern Louisiana University

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.

Are you interested making logistics more sustainable? This role offers the opportunity to conduct in-depth research into logistics systems, supply chain renewal, and emerging technologies. You will be part of an international academic community committed to impactful science and close collaboration with industry. The professorship of sustainable logistics in industrial engineering and management is located at the Department of Industrial Engineering and Management (IEM) of the LUT School of Engineering Sciences. The position is based in Kouvola, Finland. IEM is an integrative, solution-oriented discipline that addresses organisations and their networks as technological, economic, and social systems with the objective of enabling innovations, creating value, and leading businesses towards high efficiency, profitability, and sustainability. The department’s research focuses specifically on innovation and technology management, logistics and supply chains, operations management, cost and performance management, entrepreneurship, and systems engineering. What we expect from you The professorship will reinforce the IEM department’s logistics and innovation research and education. The person appointed to the position must present strong research merits in sustainable logistics in industrial management. Applicants must have proven expertise in at least one of the following fields: Logistics management and services, transportation systems Supply chain management, sustainability in logistics Artificial intelligence in logistic applications of industrial management Practical experience in the field is not a requirement in this position, but strong evidence of industrial research and development projects is considered an advantage. Spoken and written fluency in English is required. The appointment process description explains the qualification requirements, duties, and tenure track appointment criteria. What we offer to you We are looking for a candidate who is inspired by LUT’s values and strategy and motivated to advance high-impact international research in sustainable logistics. You will join LUT’s strong industrial engineering and management community and work in an international, multidisciplinary academic environment to develop resilient, sustainable logistics and supply chain solutions. The professorship will be filled through an open application process, with a fixed four-year term for the assistant/associate professor level or a permanent appointment for the full professor level. A six-month trial period applies. The salary is determined according to the salary system for university teaching and research personnel. The pay will include an individual pay component based on performance and competence. The gross annual salary of an assistant/associate professor ranges from 50,500 to 68,000 euros and that of a full professor from 70,000 to 104,800 euros, depending on the qualifications and experience of the candidate. In addition to a competitive salary, the job comes with a wide range of benefits, including a holiday bonus, a generous holiday entitlement, a research incentive scheme with personal rewards for high-quality publications, flexible working hours, occupational health care, a collegial work environment, and continued commitment to your support, learning, training, and development. For further information about the position, please contact Professor Marko Torkkeli either by phone (+358 40 7611223) on Thursday 23 April 2026 at 10:00-14:00 (UTC +3) or email (marko.torkkeli@lut.fi). Take the next step in your academic journey and join us in the Land of the Curious. Interested? Please submit your application by 4 May 2026 at 12:00 noon (UTC +3). Submit your application and all required attachments by filling out the online form. All application documents must be in English and in PDF format. Please specify the tenure track level to which you are applying. Submit your application well before the deadline to allow time for uploading all attachments. Also, make sure you submit only one application. Read more about the LUT School of Engineering Sciences. Read more about the Department of Industrial Engineering and Management. Information for international staff LUT University | LUT University seeks solutions to global issues with its expertise in technology, business, and social sciences. LUT is a trailblazer in promoting the energy transition and the regenerative use of natural resources and helps build resilient communities, industry, and businesses through data, research, and education. LUT's campuses are in Lappeenranta and Lahti, Finland, but its impact is global. Lut.fi/en Technical support for using the recruitment system: recruitment@lut.fi. #workingatlut

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.