Jobbannonser som erbjuder distans i Lund

Trans Europe Halles is looking for a Managing Director JOB DESCRIPTION AND PERSON SPECIFICATION Job title Managing Director Gross salary Salary: 50 000 SEK/month Position & timeline Start Date: 1 January 2027 Contract: Permanent contract with a 6-month trial period Location: Lund, Sweden, with flexible 50:50 remote working Reports to Executive Committee of Trans Europe Halles Context Trans Europe Halles is a member-based organisation, a network of 180+ independent cultural and creative spaces in 40+ countries across Europe and beyond. For over 40 years, we have been supporting cultural centres founded by communities and artists in repurposed buildings: turning former factories, warehouses, and industrial sites into thriving hubs for creativity and social change. TEH provides capacity-building programmes, advocacy, funding opportunities and knowledge exchange to empower cultural organisations and strengthen the independent cultural sector. Job summary Trans Europe Halles is looking for a confident, strategic, accountable, collaborative, and compassionate Managing Director to work closely with the TEH Coordination Office and as we navigate a challenging and transformative time for arts and culture, we need a strategic Managing Director responsible for the day-to-day leadership of the Coordination Office, while being responsible for the organisational and financial health of Trans Europe Halles. The role of Managing Director brings together internal leadership – leading the Coordination Office, facilitating the work of the team, and overseeing organisational and financial health – with external responsibilities including advocacy, representation, and fundraising. The Managing Director reports to the Executive Committee of Trans Europe Halles. Job requirements You don’t need to meet everything on the list. We recognize that life experience builds valuable skills. If you’re not sure you meet every part of the role, we’d still really encourage you to apply. What matters most is that you bring genuine commitment, relevant experience, and a desire to grow with the role and the organisation. Commitment to collaboration with a core team of seven full-time equivalent staff, interns and volunteers, and a commitment to equity and inclusion. A deep understanding of the work of Trans Europe Halles, its structures, membership, and advocacy. Leadership experience in the cultural or charitable sector. Proven success in fundraising, and strong financial literacy, including budget management and reporting. Interest and passion for fundraising, identifying new funding opportunities, and identifying new sources of income. Ability to cooperate with, and support, a diverse Executive Committee. Knowledge of the independent cultural sector in the EU, and a drive to build lasting relationships with other organisations and institutions. The desire to build the confidence of every member of the team, as well as your own, while holding the responsibility the organisational and financial health of Trans Europe Halles. Right to work in Sweden. Job responsibilities Strategy and growth: Spearhead organisational development and delivery of the Network Agenda. Develop and implement innovative fundraising strategies to fuel sustainable development of TEH, tapping into public grants, sponsorships, and philanthropic activities. Cultivate and maintain relationships with a range of existing and potential funders – trusts, foundations, and funding partners. Advocacy and representation Represent TEH at a senior level at conferences, forums, and events in order to elevate its profile and secure/maintain high-impact sector-networks. Ensure that the knowledge gained from these relationships feeds back into the delivery of TEH’s projects. Projects Coordinate the project managers and oversee the projects implementation and financial health. Drive continuous improvement using data insights on project outputs, outcomes, and impacts to refine agendas and enhance organisational effectiveness. Finance Oversee budget development, financial planning and resource allocation to support the networks strategy and projects. Leadership and operations Provide operational oversight, team management, and mentoring to foster a collaborative, participatory, and inclusive environment aligned with TEH development goals. Lead the risk management. Attend Executive Committee meetings and provide regular reporting to the Executive Committee. Ensure statutory compliance, and compliance with the Swedish and EU laws and regulations. Application Process  STAGE 1 – Application Please send the following to jobs@teh.net: CV Cover Letter detailing your experience and motivation in relation to the call One minute video/audio or one page file/text answering the following: “Tell us why Trans Europe Halles’ work matters to you, and what you'd bring to this moment in the network's life.” Subject line: Managing Director – [Your Name] Apply by: 31 August 2026 23:59 CEST STAGE 2 - Interview Interviews will start by 14 September 2026 DISCLAIMER: Trans Europe Halles is an equal opportunity employer that values all knowledge and cultures. We strongly encourage qualified candidates from under-represented groups; candidates from diverse backgrounds, across all abilities, sexual orientations, faiths and age groups to apply for this job.

Jobbeskrivning Sigma Connectivity’s Edge AI initiatives span multiple domains—computer vision, audio intelligence, sensor fusion, and embedded ML—delivering low‑latency, privacy‑preserving intelligence directly on devices across diverse hardware platforms. Projects routinely involve developing and optimizing ML models for tasks such as gesture recognition, defect detection, object tracking, and contextual human‑machine interaction, deployed on edge hardware including Qualcomm, NVIDIA, NXP, and other MCU‑class systems. Work includes quantization, DSP/NPU acceleration, real‑time analytics, and combined cloud–edge pipelines that enhance precision while keeping compute close to the data source. We are looking for a skilled ML Engineer to join our growing team and contribute to the development of advanced edge AI solutions. Your work will include - Model Design and Deployment: On-Device Design, train, and validate ML models for computer vision, sensor fusion, signal processing, and predictive analytics. Develop and optimize ML pipelines for on‑device inference, including quantization, power/performance tuning, and DSP/NPU acceleration. Monitor, test, and optimize the performance of deployed models to ensure accuracy, scalability, and maintainability. Data Processing & Analysis Build data ingestion, preprocessing, and feature‑engineering pipelines for both edge and hybrid (Edge + Cloud) deployments. Extract, process, and analyse large datasets to generate actionable insights and continuously improve model performance. Collaboration Work with cross‑functional teams—architects, embedded developers, PMs, UI/UX, and customers—to develop and integrate ML functionality into real products. Participate in prototyping, PoCs, and contribute to customer dialogues and technical presentations. Participate in technical discussions, document your work, and clearly explain the trade-offs and decisions behind the solutions you present. Stay Current Keep up to date with the latest trends, tools, and technologies in AI/ML to ensure our solutions are cutting-edge. We are looking for - Strong hands‑on experience in Python, ML frameworks such as PyTorch or TensorFlow, and classical CV libraries (OpenCV, scikit‑learn). Ability to build and deploy ML models for Edge or Embedded platforms, preferably with experience on Qualcomm, Nordic, NXP, or similar SoCs. Familiarity with quantization, model compression, benchmarking, and inference profiling on constrained hardware. Experience with data pipelines, including data validation, augmentation, and performance analysis. Understanding of end‑to‑end ML lifecycle, including experimentation, evaluation, and deployment in production environments. Master’s or PhD in ML, Robotics, Autonomous Systems or related fields. 2+ years of hands-on experience developing and deploying ML models in production. Proven experience in one or more of:Computer vision Time‑series or sensor‑data ML LLM‑based or hybrid AI systems Effective communication skills and experience working in cross-functional teams. Passionate about staying up to date with emerging technologies, methodologies, and industry trends in AI/ML. Bonus: Knowledge of MLOps, FastAPI, Docker, CI/CD, and cloud platforms such as Azure or AWS We Provide - Cutting-Edge Projects: Opportunity to work with industry-defining technologies in terms of applied research and pushing functional boundaries. Vibrant Work Environment: We have technical experts from 25 nationalities as part of our team and disruptive ideas are a daily occurrence whether it is a groundbreaking mesh technology, a radical approach to manage power and performance on edge devices, or creative solutions to enhance model efficiency. Work-Life Balance: We understand the importance of balancing work and personal life. Our flexible work hours and remote work options help you maintain this balance. Competitive Pay: We offer a salary that aligns with industry standards, ensuring you are fairly compensated for your skills and experience. Generous Vacation Time: Enjoy a healthy work-life balance with 25 days of annual paid vacation. We believe time off is crucial for your well-being and productivity. Health and Wellness Benefits: Dedicated yearly health and wellness allocation.