AI Training Program Officer Job Sweden (HPC & AI Factory Mimer)

📍 Location: eu

🏷 Type: Not specified

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Table of Contents

Job Overview

This role focuses on AI training program development within the high-performance computing (HPC) and AI infrastructure domain, targeting a senior-level (5+ years) professional. Based at Linköping University through NAISS and the MIMER AI Factory, the position blends strategy, technical education, and ecosystem collaboration. The ideal candidate combines AI/ML knowledge, program design expertise, and stakeholder coordination to drive adoption across academia, startups, and public institutions, ensuring training aligns with real-world compute use cases and European AI initiatives.

🌍 Work Eligibility & Location

🌍 Visa Sponsorship: Not explicitly stated
✈️ Relocation Support: Not specified
🏠 Remote Type: Hybrid (up to 40% remote)
⏰ Timezone Requirement: CET working hours
🌐 Country Restrictions: Must align with Swedish employment regulations
🗣️ Language Requirement: English (fluent)

This is a Hybrid role based in Sweden, with partial remote flexibility (up to 40%). While visa sponsorship is not clearly confirmed, international applicants may still qualify depending on Swedish public sector hiring policies. Candidates must be able to operate within European time zones and collaborate across EU research ecosystems.

💰 Salary Intelligence

💰 Official Salary: Not disclosed
📊 Estimated Range: €55,000 – €75,000/year
📈 Level: Senior-Level

Although the official salary is not listed, similar roles in Swedish academia and EU-funded AI programs fall within the €55K–€75K range. Given the senior-level expectations and strategic responsibilities, compensation is competitive for public-sector research roles, especially when combined with Sweden’s strong work-life balance and benefits.

📊 Role Breakdown

This position is structured around three core domains: training program design (40%), ecosystem engagement (30%), and operational coordination (30%). You will design AI learning pathways across beginner to deployment levels, leveraging HPC systems, GPU environments, and AI infrastructure. A key responsibility is to translate complex AI/ML concepts into structured, accessible training programs for diverse audiences.

You will also lead workshops, bootcamps, and hackathons, ensuring content aligns with real-world applications in industry and research. Collaboration is central — working with data scientists, EU AI initiatives, startups, and public sector organizations to co-create impactful learning experiences. Additionally, you will manage training logistics, digital learning platforms, and KPI tracking, ensuring measurable outcomes such as increased AI adoption and compute usage.

🧩 Required Skills & Fit

✅ Must: Experience designing and delivering AI or data science training programs
✅ Must: Strong background in computational sciences, engineering, or related fields
✅ Must: Ability to simplify complex technical topics into structured learning
➕ Bonus: Experience with HPC, GPU systems, or cloud AI platforms
➕ Bonus: Experience in EU-funded projects or international collaborations

📈 Difficulty & Competitiveness

⚡ Level: High
📊 Experience barrier: 5+ years
🧠 Skill complexity: Advanced technical + program design
🌍 Competition: Moderate to high across EU talent pool

This role is high difficulty due to its hybrid nature requiring both technical AI expertise and educational program leadership. The 5+ years experience requirement, combined with expectations in HPC and EU collaboration, significantly narrows the candidate pool. Competition is strong among experienced AI professionals transitioning into strategic or educational roles.

🚀 Career Impact

⭐ Impact Rating: ⭐⭐⭐⭐☆
🏢 Brand value: Strong EU AI infrastructure exposure
📚 Skill growth: AI strategy, HPC systems, program leadership
🚀 Future opportunities: AI leadership, policy, research coordination

This role offers strong career acceleration into AI leadership and strategic program management. Working within EU-backed initiatives enhances your global credibility while developing expertise in AI infrastructure, training systems, and innovation ecosystems. It is particularly valuable for professionals aiming to transition into AI policy, research leadership, or large-scale AI program design.

📋 Key Responsibilities

You will design and implement AI training programs spanning introductory to advanced deployment levels. This includes organizing workshops, bootcamps, and hackathons using HPC systems, GPU environments, and AI tools. You will collaborate with technical experts to align training with real-world use cases and industry needs.

Additionally, you will coordinate logistics and training operations, manage digital learning platforms, and track KPIs to measure success. A key part of the role involves engaging with startups, SMEs, and public organizations to identify AI opportunities and drive adoption through structured learning initiatives.

🎯 Application Strategy

🎯 Best apply method: Direct via university careers portal
🔥 Highlight: AI training or education program experience
🔥 Highlight: HPC, GPU, or cloud AI infrastructure exposure
❌ Avoid: Generic academic CV without applied impact
❌ Avoid: Overemphasis on theory without training delivery proof

🧠 Application Optimization (Adaptive)

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How to use: Paste into ChatGPT, Claude, or Gemini

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Role:
AI Training Program Officer focused on HPC-based AI education and EU ecosystem collaboration

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role has high urgency with a fixed deadline of April 30, 2026. Given its niche focus, competition is concentrated but strong among senior AI professionals and academic program leaders. Early applications with tailored positioning significantly increase success probability, especially for candidates demonstrating both technical depth and training impact.

🚀 Resume Optimization for This Role

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Tailoring your CV to this exact role significantly increases your chances.

Design AI Programs: Demonstrate building structured AI training pathways across levels

Leverage HPC Tools: Highlight experience with HPC, GPUs, or cloud AI infrastructure

Deliver Workshops: Quantify workshops, bootcamps, or hackathons delivered with outcomes

Collaborate Ecosystems: Show partnerships with academia, startups, or public sector organizations

Track Impact Metrics: Include KPIs measuring AI adoption, training engagement, or compute usage

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✅ Job Source & Verification

This job listing is sourced directly from Linköping University’s official careers page, ensuring high source credibility. Details align with NAISS and MIMER AI Factory descriptions. Last updated: April 2026 based on the application deadline and posting reference. Always verify final application details on the official site before submission.