PhD student in innovation science

9333


Högskolan i Halmstad, Akademin för företagande, innovation och hållbarhet 

Halmstad University

Halmstad University adds value, drives innovation and prepares people and society for the future. Halmstad University

Work at a University where different perspectives meet!

Since the beginning in 1983, innovation and collaboration with society have characterized the University's education and research. The research is internationally reputable and is largely conducted in a multidisciplinary manner within the University's two focus areas: Health Innovation and Smart Cities and Communities. The University has a wide range of education with many popular study programs. The campus is modern and well-equipped, and is situated close to both public transportation and the city center.

More information about working at Halmstad University

School of Business, Innovation and Sustainability
The University consists of four interdisciplinary academies and the current position is located at the School of Business, Innovation and Sustainability (FIH). Here you get to work in a research and educational environment with a focus on sustainable development and entrepreneurship. The school trains future economists, engineers, environmental scientists and biologists. The school has approximately 120 employees and consists of four departments, the department of Construction and Energy Engineering, the department of Business Studies, the department of Environmental and Biosciences and the department of Engineering and Innovation. FIH offers education at the undergraduate and advanced level, as well as doctoral education in the field of Innovation Sciences. The research is multidisciplinary and often takes place in co-production with other actors.

School of Business, Innovation and Sustainability.

PhD student in innovation science with focus on Energy efficiency and resource management.

Description

The PhD student will focus on research directed towards application, development and analysis of data-driven methods for increased energy efficiency in district heating systems. Two different main areas are included. Where the emphasis should lie is partly determined by the focus and interest of the candidate:

The first main area focuses on investigating the innovation potential for new applications of data-driven technology, for example generative AI, in the district heating sector. What characterizes companies that succeed in implementing data-driven technology? What are the challenges and driving forces? What does the implementation look like in the district heating sector specifically? What examples are there? How have these applications been implemented? Where are the greatest efficiency potentials and how are these identified?

The second main area aims to carry out implementation case studies for example with known automated fault detection methods in the interface between district heating network and customer (district heating substation) as well as in building internal systems for space heating and domestic hot water. What are these methods and how can companies active in the district heating sector use them and participate in innovation ecosystems in cooperation with other actors for increased competitiveness?

Regarding doctoral studies, the PhD student has an opportunity to influence which PhD courses are to be taken, in agreement with the main supervisor who is ultimately responsible. Suitable courses depend on which research focus will be relevant as well as compulsory courses within the doctoral education.

Institutional work primarily involves teaching and courses in which the student can conceivably participate are GIS, District Heating Technology, Energy Supply, Installation Technology and other primarily energy-related courses. Usually, the doctoral student participates as an exercise leader or lab supervisor, but also lectures and in some cases course responsibility may be relevant

The employment is initially funded for 2 years, making it possible to achieve a Licentiate degree. To pursue a full PhD degree, the candidate and supervisors are obliged to apply for additional funding.

Qualifications
A university degree at advanced (Master's) level in a relevant field of study, comprising of at least four years of study (240 ECTS credits), whereof at least 60 ECTS credits at advanced (Master's) level (or equivalent). By the start of the enrollment in the PhD program, the candidate must also have completed a degree project (thesis) at advanced (Master's) level, representing at least one term of study (30 ECTS credits).

Other requirements

  • Master degree with a focus in e.g. energy, physics, mechanics, data or equivalent.
  • Good knowledge of spoken and written English. 

Meritorious

  • Some knowledge/experience in district heating and/or energy system analysis.
  • Some familiarity with data management, programming and data science methods.
  • Previous experiences from implementing new technology within companies and organizations. 

Salary
Doctoral students are employees of the University and paid a salary according to a uniform salary scale, adjusted in relation to the progress in education.

Application
Applications should be sent via Halmstad University's recruitment system Varbi (see link on this page). 
How to design your application 

General Information
We value the qualities that gender balance and diversity bring to our organization. We therefore welcome applicants with different backgrounds, gender, functionality and, not least, life experience.

Facts about Halmstad University

Working at Halmstad University



Halmstad University - Högskolan i Halmstad



Visit employer page


Deadline: 2024-07-31
Location: Sweden, Halmstad
Categories: Data Science, energy engineering, Innovation, PhD, Physics, Resource Management, Robot Mechanics , structural mechanics,

Apply


Ads
SAL Silicon Austria Labs GmbH


AIT Austrian Institute of Technology


Helmut-Schmidt-Universität - Universität der Bundeswehr Hamburg


GFZ - Helmholtz / Deutsches GeoForschungsZentrum


Helmholtz Centre for Infection Research (HZI)


Technische Universität Graz


BOKU Universität für Bodenkultur Wien


Max Planck Institute for Social Law and Social Policy