Microelectronics Skills Strategy

As the global economy is constantly transformed, the need for new skills has never been higher. The microelectronics industry is thoroughly affected by this urgent need. To develop a workforce fit for the future, it is crucial to invest not only in reskilling and upskilling, but also in skills anticipation and inclusivity. To tackle this need, the European microelectronics ecosystem has adopted many bottom-up initiatives and good practices supporting lifelong learning. Many companies collaborate with universities and training institutes to offer work-based training, and numerous events take place to support women participation in STEM and to attract more young talent to a microelectronics career. Despite these great efforts, further pooling of investments is necessary if Europe is to develop efficient lifelong learning programs. Creating strong skills partnerships is vital for sustainable upskilling and reskilling initiatives. According to the World Economic Forum (2021), greater private-public collaboration on large-scale upskilling and reskilling initiatives could boost global GDP by $6.5 trillion and lead to the creation of 5.3 million net new jobs by 2030. What is the Skills Partnership? Against this backdrop, SEMI Europe is launching the Skills Partnership for Microelectronics. The partnership brings together industrial and education partners from the microelectronics ecosystem to implement the Pact for Skills, an EU initiative which aims to boost upskilling and reskilling investments in key ecosystems for Europe’s competitiveness. Following the high-level roundtable with SEMI Europe’s Advisory Board, hosted by European Commissioners Thierry Breton and Nicolas Schmit, the microelectronics sector was selected in November 2020 as one of the key ecosystems for the first wave of implementation of the Pact, alongside automotive and aerospace/defense. Read more details about the October 2020 roundtable. 59 partners have already endorsed the Pact for Skills for Microelectronics. The Skills Partnership for Microelectronics aims to: Exchange good practices of upskilling and reskilling initiatives of the microelectronics industry Develop sustainable collaboration mechanisms that will monitor microelectronics skill needs, learning from the examples of the METIS blueprint project Promote the microelectronics sector as a career choice Boost the presence of women and other under-represented groups in the sector. The partners will have the opportunity to liaise not only with European, but also with national and regional authorities and clusters, so that a pan-European holistic approach to microelectronics skills development is achieved, and a significant flux of public and private investments on skills is mobilized. To launch this ambitious partnership, SEMI Europe held an initial workshop on March 17. Participants included representatives from the European Commission’s DG Connect, DG Employment and DG Grow, national and regional authorities, and over 70 industry and education partners. The workshop opened with representatives from the European Commission informing all stakeholders about the Pact for Skills initiative, as well as about EU skills-related funding opportunities. In the framework of the Pact for Skills, the Commission will support the ecosystems with a Networking Hub, a Knowledge Hub and a Guidance Resources Hub. These platforms will be available later in 2021 and will act as a one-stop-shop to support the partners and provide information on EU policies and funding opportunities. Other presentations went on to set the scene, presenting the main priorities of the partnership. Françoise Chombar, CEO of Melexis, highlighted the skills challenge experienced by the microelectronics industry. She emphasized the importance of lifelong learning and the danger of the gender disbalance in the sector and underlined the huge innovation potential and profitability that could be unleashed for Europe if the gender gap is successfully addressed. Moreover, the preliminary results of the METIS Microelectronics Skills Strategy were presented, to offer the basis for the partnership’s approach to skills anticipation. The partnership will establish working groups that will investigate the industry needs, leading to a better connection with the offer of education and training programs. Last but not least, the partnership aims to promote national and regional funding of upskilling and reskilling initiatives. In this regard, representatives from national and regional authorities and clusters participated in the meeting. The government of the Basque region had an active role, presenting the region’s priorities, incentives and main actions on promotion of lifelong learning initiatives. The next steps The meeting concluded with an overview of the next steps for the newly launched partnership. In the next workshop, the partners will align on the specific KPIs, as well as on the focus areas where they would like to engage (skills anticipation in semiconductor manufacturing, skills anticipation in semiconductor design, gender balance, etc.). In that framework, the executive board will be established, as well as the working groups that will lead the work of the partnership and set targeted objectives. If you want to take active part in the creation of this large-scale initiative, please fill in your details here. To learn more about the initiative, click here or contact [email protected]. Stefania Gavra is public affairs manager at SEMI Europe.

While Artificial Intelligence (AI) emerged in the 1950s, only in recent years have AI applications proliferated with the explosion of data and continuing improvements in Moore’s law that have driven rising processing speeds. Voice assistants, image analysis software, search engines, and speech and facial recognition systems were among the first applications to use AI. Today, adoption has spread to sectors such as agriculture, cybersecurity, healthcare, software development, e-government and the intelligent enterprise to generate jobs and help spur economic growth. The Edge AI Opportunity and the Microelectronics IndustryAI can be embedded in hardware devices such as advanced robots, autonomous cars, drones or Internet of Things (IoT) applications. Today, according to the EU’s digital strategy, data centres and other centralized computing facilities account for the vast majority – 80% – of AI data processing and analysis, with smart connected objects such as automobiles, home appliances and manufacturing robots that bring the compute function closer to the user representing 20%. The latter, known as Edge AI applications, are powered by edge-based machine learning chipsets, not the AI chipsets designed to run cloud-based machine learning algorithms.The EU’s white paper on AI published in February 2020 anticipates that the way data are stored and processed for AI applications will change significantly over the coming five years as edge computing applications proliferate. Most AI applications need to connect with devices that collect data and manage data flows. When the applications connect with cloud infrastructures to train large volumes of data for a machine learning model, the interface devices often require hardware support. Edge AI can minimize data transport by processing data directly from local devices to accelerate data analysis and decision-making and make data transport or accelerator hardware unnecessary, critical in reducing power consumption and enhancing data security for applications such as autonomous driving. Over the past 40 years, the ICT sector has been continuously increasing greenhouse gas (GHG) emissions despite efforts to shift to renewable energy. Cloud-based AI applications require an ICT infrastructure for high-performance computing and high-speed connectivity. According to MIT Technology Review, data centres’ AI workloads could account for a tenth of the world’s electricity usage by 2025. a mass update of cloud-based AI applications may significantly increase energy consumption, unlike with Edge AI. This is why the strategy for developing Edge AI is well-aligned with the EU’s Green Deal objectives. Europe aspires to play a leadership role in Edge AI to strengthen the sector’s competitiveness and protect the European digital sovereignty. Europe’s strong industrial competencies in embedded systems and microcontrollers will help the region promote development of European domestic AI solutions for emerging high-value IoT applications in industrial processes such as Industry 4.0, Connected and Automated driving (CSA), smart cities, climate action, healthcare, and national defence and security. With this strong strategic position in technology, Europe is well-positioned to invest to become the leader in the Edge AI global market.Preparing the Workforce for the Microelectronics IndustryTo design and manufacture leading Edge AI chipsets, European education providers and industry will need to work closely together to train the current and future workforces. Within the framework of the METIS project, a four-year project co-funded by the European Commission through the Erasmus+ programme, SEMI and imec deployed experts in the field to survey and interview focus groups. The survey identified the following key focus areas for workforce development: 1. True Capability of AI and Data Science With AI’s heavy dependence on data, the workforce of the future must be trained in areas of data science including data integrity to ensure quality, unbiased sourcing, collection and accurate analysis necessary to interpret huge volumes of data. Europe also needs to train the next generation of AI chip designers in data security and privacy – key challenges to the widespread deployment of Edge AI chips. 2. Climate Change, Sustainable Development Goals (SDGs) and Social Inclusion TrainingSince the industry must be able to develop Edge AI solutions to enable the digital transformation while limiting GHG emissions, microelectronics engineers need to be schooled in climate change and understand how their work contributes to meeting the United Nation’s Sustainable Development Goals (SDGs). Workplace diversity and social inclusion are also important target areas for education since Edge AI applications should serve various groups of people with different needs.3. EthicsChip industry workers must also be educated in ethical issues of AI related to the technology’s potential societal impact in the near future[1]. With AI applications capable of monitoring Internet searches based on users’ personal preferences and biases to deliver tailored advertising, news and other information, developers must recognize how the technology can influence thinking and behaviour of individuals and groups. This awareness can help developers strike a balance between supporting commercial interests and societal good so the microelectronics industry can ensure ethical implementation of AI. 4. Cross-disciplinary Skills Required for AIAI development requires a comprehensive, cross-disciplinary skill-set to be able to integrate the work of specialists from diverse educational, cultural and professional backgrounds critical to developing non-biased AI solutions. For example, in addition to technical expertise, microelectronics AI developers must be able to communicate clearly and work in close-knit teams with non-technical experts from business, law, medicine and the social sciences.What’s Next?The microelectronics industry has a tremendous opportunity to develop new chip-based solutions for AI architectures, and apply AI techniques to improve operational efficiencies of design and manufacturing. To seize this opportunity, the industry must work closely with education providers to groom the next generation of skilled workers. This tight collaboration is critical to designing and delivering specialised courses to college and university students as well as engineers now working in the chip sector. The stakes are high. By preparing workers to develop Edge AI chipsets, the microelectronics industry can help the world confront some of the greatest challenges it faces today.For more information, see SEMI Responds to European Commission White Paper on Artificial Intelligence.METIS is a Sector Skills Alliance project co-funded by the European Commission’s Erasmus+ Program and coordinated by SEMI. The four year project, launched in November 2019, will develop a Microelectronics Skills Strategy. Based on the strategy, the METIS project will design 43 training modules for 1,100 hours learning in four key areas of the microelectronics sector.We thank Patrick Blouet (STMicroelectronics) and Jeroen Geusens (imec) for their valuable contributions to this article.[1] Ethics of Artificial Intelligence and Robotics, Stanford Encyclopedia of PhilosophyDr. Yanying Li is senior manager of Collaborative Projects at SEMI Europe.Dr. Pushkar P. Apte is the strategic technology advisor for the Smart Data AI Initiative at SEMI