PhD Digital Training and Learning (Pharmaceutical Industry Production)

Are you interested in understanding the factors that impact the effect of training and performance support in the Pharmaceutical industry’s production roles? Do you have an interest in the quality of training and operational performance, and for applying statistical methods in industrial training and digital learning technologies? Would you like to contribute to the design of digital training technology and the evaluation of its impact? Then you might be our new PhD student.

The Position

You will be involved in the ongoing development of a world class training system and collaborating with both industry and academia. Broadly speaking, the project is expected devise an evidence-based process for measuring the effect of training and performance support using digital learning technologies as well as traditional learning formats. The project will identify, map, and build on the factors that affect the impact of training and performance support in a variety of operational job roles.

Some of your key tasks will be to part of the following objectives within the Training Technology and Standards team of NovoNordisk and as a researcher of the learnT DTU centre:

• Review the existing literature on pharmaceutical industry’s digital training technology and standards to establish the scope of contribution in the short-term and long-term evaluation mechanisms.
• Define the process and conduct pilot evaluation
  • knowledge and skills of operators
  • attitude towards the tasks and responsibilities of the operator’s role
  • behaviour of the operator following completed training and while utilizing performance support tools (augmented instructions)
  • on deviations from the operating procedure due to the actions of the operator (i.e. errors made during operation, which can be characterized as “human errors”). Identify the reasons behind the difference in performance associated with the digital context of training and physical context of work.
  
  
• Disseminate the scientific outcomes in international academic educational technology community through publication of papers in journals, books, and conferences
• Develop and apply the methods and tools for valid measurement of impact of training and performance support
• You have the motivation and ability to define, execute and achieve quality of the research and development activities in collaboration with your colleagues.

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The position is a full-time position. The period of employment is 3 years starting March 1, 2022 (or as soon as possible thereafter).

You will be based at Novo Nordisk in Bagsværd, Denmark, but you can expect to work multiple days to weeks per year at the Product Supply Production sites around Greater Copenhagen and Kalundborg, Denmark.

Qualifications

Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. The master’s degree should be in computational science, computer engineering, information systems, statistics, data science, applied mathematics, or equivalent academic qualifications.

Preference will be given to candidates who can document experience in applied statistics, data science, statistical machine learning and experience in working with digital learning technologies, information systems, or learning analytics. Furthermore, good command of the Danish language is essential for field work and good command of English language is required for academic dissemination.

About the Department

The PhD project is a part of strategic collaboration project between NovoNordisk and DTU. The role of the PhD fellow will be affiliated with learnT – Center for Digital Learning Technology and the role in the practical context will be affiliated with the Novo Nordisk’s Training Technology and Standards unit. The project is financed by NovoNordisk.

LearnT is in the Section for Statistics and Data Analysis at DTU Compute dedicated to support other departments at DTU and external partners with skills, knowledge, and consultancy within the field of statistics and data analysis including biological and educational data. The section has special emphasis on statistics, quantitative genomics, bioinformatics, pattern recognition and software development. DTU Compute has a long history of conducting statistical consultancy and participating in research and publication collaboration with other departments at DTU, other universities and external partners. The basic purpose of the unit is to formalize this collaboration and contribute to even better research and public service sector consultancy at DTU.

The position is anchored at Novo Nordisk in the Global People & Organisation (HR) and “Training & Capability Building” consisting of 100+ training professionals. We focus specifically on the job specific training supporting employees working within the regulated production areas in Product Supply and Quality.

The team is responsible for the Training Standards used in the production areas and development of digital content such as videos, e-learning courses, Virtual and Augmented Reality solutions. The team consists of experienced Learning & Development Consultants and Training Developers responsible for setting direction and supporting the global training organisation and end users.

Working at Novo Nordisk

At Novo Nordisk, your skills, dedication and ambition help us change lives for the better. In exchange, we offer you an opportunity to work with extraordinary talent and benefit from a range of possibilities for professional and personal development.

Contact

The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the DTU Compute PhD School Programme.

For information about the general requirements for enrolment and the general planning of the PhD study programme, please see the DTU PhD Guide.

The assessment of the applicants will be made by Associate Professor Md Saifuddin Khalid and Associate Professor Ulrich Krühne.

Further information concerning the project can be obtained from the supervisor and co-supervisors Associate Professor Md Saifuddin Khalid ([email protected]) and Associate Professor Ulrich Krühne.

([email protected])

Contact in Novo Nordisk for questions about the department, project and objectives of the PhD is Senior Manager Jakob Foss ([email protected] / +45 30790280)

Deadline

Please submit your online application no later than 1/1/2023. Please note that we will be reviewing applications on an ongoing basis, and we encourage you to apply as soon as possible.

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• A letter motivating the application (cover letter)
• Curriculum vitae
• Grade transcripts and BSc/MSc diploma
• Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

Candidates may apply prior to ob­tai­ning their master's degree, but cannot begin before having received it.

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. To ensure an efficient and fair recruitment process please refrain from adding a photo in your CV:

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.

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