The European Training Network for InduStry Digital Transformation across Innovation Ecosystems, also known as EINST4INE, is a consortium of 7 European academic and non-academic beneficiaries, plus 2 academic and 15 industry partners working in the domain of industrial digital transformation.
EINST4INE receives funding from the Marie Skłodowska-Curie Innovative Training Networks (ITN) scheme.
EINST4INE aims to develop new concepts, approaches and methods in the area of digital transformation and brings together a unique group of world-leading experts in the areas of Open Innovation, Industry 4.0, digital transformation and innovation ecosystems.
PhD Projects
- Project 1: Future skills and competencies of employees dealing with the management of digital transformation
- Project 2: Assessment of human-machine interfaces of social and collaborative robots
- Project 3: Human models for collaborative robots
- Project 4: The robo-advisor revolution and its impact on skillset and competencies of financial advisors
- Project 5: Embodied presence of remote employees in collaborative teams: The use of mobile telepresence robots
- Project 6: Integration of virtual or augmented reality tools with human decision-making approaches for technology strategy
- Project 7: Integration of ‘digitally-’ and ‘socially-’ driven decision-making approaches in contemporary industries
- Project 8: Organisational capabilities, processes and structures that support and drive digital transformation
- Project 9: The technological and industrial convergence and the interplay between technology-centred ecosystems
- Project 10: The technologies that generate innovation ecosystems
- Project 11: Industry 4.0 as an enabler of innovation ecosystem emergence
- Project 12: Non-platform-based innovation ecosystem emergence
- Project 13: Innovation ecosystem orchestration mechanisms
- Project 14: Legitimising innovation ecosystem orchestration
- Project 15: Linking open innovation mechanisms for environmental sustainably goals
Who can apply?
- Early Stage Researchers: Early Stage Researchers (ESRs) are in the first four years of their research career at the time of selection by the host institution. This is measured from the date when they obtained the degree which formally entitles them to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the research training is provided, irrespective of whether or not a doctorate was envisaged. The ESRs must not have a doctoral degree.
- International mobility: Researchers are required to undertake international mobility (i.e. move from one country to another) when taking up their appointment. One general rule applies to the appointment of ESRs in a network: at the time of selection by the host organisation, researchers must not have resided or carried out their main activity (work, studies etc.) in the country of their host organisation for more than 12 months in the three years immediately prior to their recruitment.
- Scientific background: Applicant should hold a degree entitling them to embark on a doctorate (preferably a master’s degree) in fields related but not limited to business, economics, management, information systems, engineering, robotics, AI, cognitive sciences, and psychology. Professional experience is an asset but not formally required.
Selection Criteria
Applications will be evaluated based upon the applicant’s:
- Academic quality and merit
- Scientific quality and research potential
- Aptitude to carry out an individual research project and to take up research responsibilities
- Ability to work in an international context
- Willingness to take part and contribute to the training activities organised by the EINST4INE network
- Fluency in spoken and written English
How to apply?
To apply to one of the positions offered within EINST4INE, please complete the online form and attach the following documents (in English or with English translation):
- A detailed Curriculum Vitae (max. 2 pages)
- A motivation letter (max. 1,000 words)
- Written work: a summary of a research proposal within the field of activity of the selected ESR project(s) (max. 3,000 words)
- A scanned copy of official academic degree(s) which entitles the enrolment at PhD level together with transcripts
- A proof of English proficiency
- Contact details of 2 referees
Deadline: 25 April 2021 (8 PM CET)