[ad_1] Job title: Research Assistant/Associate – Business Model Innovation, Supply Chains and Productivity (Part Time, Fixed Term)
Company: personal/agent
Expected salary: £26715 – 30942 per year
Location: Cambridge
Job description:
Research Assistant/Associate – Business Model Innovation, Supply Chains and Productivity (Part Time, Fixed Term)

A part-time position exists, for a Research Assistant/Associate, to work on Business Model Innovation, Digital Technology and Intangible Capital. The Research Assistant/Associate will work within the Business Model Innovation Research Group (BMI Group) at the Institute for Manufacturing within the Cambridge University Engineering Department.

The researcher will focus on conducting historical and longitudinal analysis of firms in the supply chain to better understand productivity improvements from business model innovation. The research project will employ a combination of quantitative analysis (such as regressions or other statistical analysis etc depending on access and data availability) as well as qualitative case studies based on interviews. First, the researcher will focus on an empirical analysis that provides a deeper understanding of how mark-ups and productivity is being affected across the supply chain of the key industrial sectors and a comparative productivity analysis of showing the similarities as well as differences including possible mechanisms/reasons. Second, the researcher will focus on cases to provide an account of the barriers to innovation (product, process and business model innovation) due to organisational, leadership and information issues among others. The study also aims to contribute to frameworks to help firms achieve productivity improvements.

The researcher will possess skills and knowledge of an industrial or business economist. The researcher’s expertise will include econometric methods and related statistical analysis. The researcher is expected to have knowledge of the opportunities and challenges of firms within supply chains and innovation management. Applicants who have experience and appreciation of conducting interviews with senior management and qualitative research methods are desirable. Experience of having worked in industry and knowledge of the manufacturing industry would be desirable. Applications are invited from candidates who have (or are close to obtaining) a PhD in economics, management, industrial engineering or related disciplines. Applicants with industry experience are encouraged to apply.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

The post holder will be located in West Cambridge, Cambridgeshire, UK.

Salary Ranges:
Research Assistant: £26,715 – £30,942
Research Associate: £32,816 – £40,322

Fixed-term: The funds for this post are available for 24 months in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

Click the ’Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload your CV and covering letter in the Upload section of the online application. If you upload any additional documents not requested, we will not be able to consider these as part of your application. Submit your application by midnight on the closing date.

If you have any questions about this vacancy or the application process, contact: Alice Gregory ( ac867cam.ac.uk ).

Please quote reference NM27407 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information
  • HR7_Further_Information
In your application, please refer to myScience.uk and reference JobID 198665. [ad_2]
Job date: Wed, 21 Jul 2021 07:06:48 GMT


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