Northeastern University, China

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Norway, Trondheim

About the position

Through a collaboration agreement between CERN and NorCC (Norwegian Centre for CERN-related Research), this position is one of a number of jointly-funded NTNU-CERN PhD vacancies in the field of the technological sciences (engineering projects). The successful candidate will spend 18 months at NTNU and 18 months at CERN, while remaining active in the PhD Programme at both institutions for the full 36 months. For the position of PhD Candidate, the goal is the completion of doctoral education at NTNU and CERN, including an obtained doctoral degree from NTNU.

A jointly-funded NTNU-CERN PhD vacancy is available at the Department of Engineering Cybernetics at NTNU on the topic of Model Predictive Control for Energy Optimization in Cooling and Ventilation Systems.

There has been considerable effort recently to reduce energy consumption at CERN, which currently stands at roughly 1.3 TWh per year.  One attractive means to achieve this, which typically also requires minimal capital expenditure, is to improve control algorithms.  At CERN, cooling and ventilation applications account for a considerable proportion of electrical consumption (in the order of 100 GWh per year). Improving control systems for these applications could therefore enable considerable energy savings.  A recent pilot implementation of Model Predictive Control (MPC) on an Air Handling Unit (AHU) at CERN has demonstrated promising results with respect to energy savings.  The focus of this project will be to investigate how MPC may be efficiently implemented for large numbers of similar installations.

Your immediate leader at CERN will be Dr. Brad Schofield, and at NTNU Prof. Morten Hovd.

Duties of the position


	Develop methodology for efficient roll-out of the piloted control methodology.  At CERN there is a large number of AHUs, of several different designs, and operating in different environments.
	Continue to develop energy-optimal advanced controllers for other process areas, in cooperation with the equipment groups.
	Be admitted to and, within the timeframe of the project, completing the requirements of the PhD programme in Engineering Cybernetics at NTNU 


Required qualifications


	You must have a Master’s degree or equivalent in Engineering Cybernetics or Control Engineering with a strong background in industrial control systems, or a Master’s degree in process technology (from Mechanical or Chemical Engineering) with a strong background in control and optimization.
	Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level
	You must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
	You must meet the requirements for admission to the NTNU PhD programme in Engineering Cybernetics.
	You must have good written and oral English language skills. Applicants from non-English speaking countries outside EU/EEA/Switzerland must provide documentation of English language proficiency, in terms of an approved test (such as TOEFL, IELTS, or similar).
	You must be a national of a CERN Member or Associate Member State.


The appointment is to be made in accordance with Regulations on terms of employment for positions such as postdoctoral fellow, Phd candidate, research assistant and specialist candidate and Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosodophiae Doctor (PhD) in artistic research at the Norwegian University of Science and Technology (NTNU).

Preferred qualifications


	Knowledge of heat transfer and thermodynamics
	Good programming skills


Personal characteristics


	Self-motivated, and self-driven with a strong ability to work both independently, and in cooperation with others when required.
	Communicates information with clarity and ease, both orally and in writing.
	Structured, focused, and solution-oriented.
	Creative and innovative in research.


Emphasis will be placed on personal and interpersonal qualities.

We offer


	exciting and stimulating tasks in a strong international academic environment
	an open and inclusive work environment with dedicated colleagues
	favourable terms in the Norwegian Public Service Pension Fund
	employee benefits


Salary and conditions at NTNU

General

The period of employment at NTNU is 18 months in total.  This may be split into two periods, starting with 12 months at NTNU, followed by 18 months at CERN, and finally 6 months at NTNU.  You will remain active in the PhD Programme at both institutions for the full 36 months. Your NTNU supervisor will assist you with your applications to the NTNU and the CERN PhD Program. A travel allowance is available when travel between NTNU and CERN is deemed appropriate by your supervisors.

Contract of employment at NTNU:

During the period(s) of employment at NTNU, you will have a contract of employment as a PhD candidate (code 1017). PhD Candidates are normally paid NOK 532 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

Appointment to a PhD position requires that you are admitted to the PhD programme in Engineering Cybernetics within three months of employment, and that you participate in an organized PhD programme during the employment period.

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. 

It is a prerequisite you can be present at and accessible to the institution on a daily basis.

Contract of association at CERN:

During the 18-month period at CERN, you will have a contract of association and will be a member of the CERN Doctoral Students Programme, the conditions of which, including details of the monthly stipend, are described in CERN Doctoral Student Programme | SmartRecruiters. You will not be employed by NTNU during this time.

About the application

The application and supporting documentation to be used as the basis for the assessment must be in English or Norwegian.

Publications and other scientific work must follow the application. Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above.

The application must include:


	A motivation letter (0.5-2 pages), indicating how the applicant envisages her/his contribution within the project
	CV  (including list of publications and relevant former positions)
	Certified copies of transcripts from Bachelor’s and Master’s degrees
	English language proficiency documentation, if required (see above) 
	Name and contact information of minimum 2 referees
	Any publications or other relevant research work


If all, or parts, of your education has been taken outside Norway, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor's and master's education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills, please attach this as well.

We will take joint work into account. If it is difficult to identify your efforts in the joint work, you must enclose a short description of your contribution.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates. 

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.

General information

Working at NTNU

NTNU believes that inclusion and diversity is our strength. We want to recruit people with different competencies, educational backgrounds, life experiences and perspectives to contribute to solving our social responsibilities within education and research. We will facilitate for our employees’ needs.

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.

As PhD candidate employed by NTNU you must at all times adapt to changes brought about by developments in your research area, and comply with organizational changes adopted by NTNU.

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the reservation is not accepted.

If you have any questions about the position, please contact professor Morten Hovd, email: morten.hovd@ntnu.no . If you have any questions about the recruitment process, please contact HR Consultant Berit Dahl, e-mail: berit.dahl@ntnu.no . 

If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. 

Application deadline: 31.12.2024.



NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Engineering Cybernetics (ITK)

Engineering cybernetics is the study of automatic control and monitoring of dynamic systems. We develop the technologies of tomorrow through close cooperation with industry and academia, both in Norway and internationally. The Department contributes to the digitalization, automation and robotization of society. The Department of Engineering Cybernetics is one of seven departments in the Faculty of Information Technology and Electrical Engineering.

Deadline 31st December 2024
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fulltime
Duration Project
Place of service NTNU, 7491 Trondheim


Norwegian University of Science and Technology

£11,639 per annum (Pro rata of £22,728)

United Kingdom, Birmingham

Salary: £11,639 per annum (Pro rata of £22,728)
Contractual hours: 23.75
Basis: Part Time
Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/
Job category/type: Catering, Food
Job reference: REQ000197
Attachments: Catering Assistant - JDPS - Nov 24.pdf

Job description

A vacancy has become available in our busy café which serves our students and staff. We have 4 cafés within the University, and you will play a key role in creating a welcoming atmosphere for our customers while ensuring they receive outstanding service.

The role will include serving hot and cold food to customers, having excellent product knowledge and upselling products. You will work alongside a professional and diverse team.

You must have previous experience of working in a catering environment with both front of house and back of house experience, excellent customer service skills and relevant Food Hygiene certification.

The post-holder will be expected to work flexibly to meet the demands of the service.

This role is 23.75 hours per week, 36 weeks per year.

Standard Information

UCB is an equal opportunities employer.

University College Birmingham is proud to have been voted 5th in the Post Graduate Education category in the prestigious 2024 Whatuni Student Choice Awards. The awards are voted for and by students showcasing the incredible relationships we foster here at University College Birmingham between Staff and Students. We are TEF rated Silver, with a Good Ofsted rating.

University College Birmingham has a unique collaborative partnership with the University of Warwick - Ranked ninth in the 2024 Guardian League Tables and 67th in the World QS University Rankings 2024

You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work.

All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement.

All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.


University College Birmingham

United Kingdom, Guildford

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.

We have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.

Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.

The role

To research and develop software modules, tools and API for a project that aims to create a secure decentralised data marketplace based on distributed ledger technology, web technologies and AI.

The role will focus on developing solutions to address barriers to information and data exchange such as data quality and interoperability, and efficient processing and management of time-series datasets and metadata originating from IoT sources (such as environment sensors and meters) closer to the data provider at the edge, rather than the cloud, which will require innovation in compute efficiency and scalability.

The role will also focus on IoT data engineering, analysis and management, improve data quality through data and machine learning processing pipelines. It will also focus on developing AI algorithms for semantically enriching data assets with domain knowledge, which feed into building knowledge graphs, search and discovery mechanisms.

The outputs will be integrated and validated against a set of real-world IoT use cases.

About you

A talent for technical problem solving is a must. You will encounter a wide range of technologies and data and will be given many opportunities to develop further your skills.

You will be responsible in contributing to iterative deliverables for the project such as technical reports, software integrations and source code releases. You will also be expected to travel abroad for project meetings and dissemination events. This is a collaborative project and will require you to actively liaise with other organisations.

Essential


	A PhD in Computer Science or Engineering (other closely related area) or and MSc with experience.
	Experience with programming in Python, Java, or JavaScript in the context of data and metadata management and analysis for web-based solutions.
	Experience in Data engineering, analysis and management workflows for times-series (tabular, structured) data.
	Experience in developing workflows for metadata management, which can involve schema modelling, formatting, annotation, enrichment, search and discovery.
	Experience in Machine Learning model development/optimisation and workflows for time-series (tabular, structured) data, and for (generative) metadata enrichment.
	Experience with tools for source code management, automation pipelines for software development and machine learning processes, and deployment.
	Experience with virtualisation tools such as Docker and Kubernetes.
	Experience in technical and report writing for software-based projects.
	Strong critical thinking skills and ability to develop innovative solutions.
	Ability to communicate effectively and work efficiently within a research and development team.
	Ability to take initiative, learn how to use the necessary tools for the research, and work independently, and collaboratively for integration tasks.


 Desirable


	An PhD in Computer Science or Engineering.
	Contributions to peer-reviewed publications, or other similar output.
	Experience with developing tools for linked or graph-based data.


How to apply

For more information or to be considered for the role, please apply via the University Website.

Further details
Job Description


University of Surrey

United Arab Emirates, Abu Dhabi

Description

The Center for Smart Engineering Materials (CSEM), New York University Abu Dhabi, seeks to recruit a Research Assistant to work on the development of high sensitivity integrated photonics sensors in Silicon Photonics (SiPh) platform.

The successful applicant will drive an exciting project on the development of smart optical sensors for environmental monitoring in the oil & gas industry. Our photonics research lab within the CSEM has set modern tools for the design, testing, and optimization of photonic circuits. It is open for collaboration with researchers with a background in basic research to investigate new optical circuits and materials with specific optical, electrical, and mechanical properties. The focus of this research project is related to advanced optoelectronics materials for sensing applications. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students, and undergraduate students.

Applicants must have an MSc in science or engineering. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests and three letters of reference, all in PDF format. If you have any questions, please email Prof. Mahmoud Rasras at mr5098@nyu.edu  

The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled.

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


New York University Abu Dhabi Corporation

£20,513 per annum pro rata (20 hours per week)

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.

We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.

Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.

The role

To research and develop software modules, tools and API for a project that aims to create a secure decentralised data marketplace based on distributed ledger technology, web technologies and AI.

The role will focus on developing solutions to address barriers to information and data exchange such as data quality and interoperability, and efficient processing and management of time-series datasets and metadata originating from IoT sources (such as environment sensors and meters) closer to the data provider at the edge, rather than the cloud, which will require innovation in compute efficiency and scalability. 

The role will also focus on IoT data engineering, analysis and management, improve data quality through data and machine learning processing pipelines. It will also focus on developing AI algorithms for semantically enriching data assets with domain knowledge, which feed into building knowledge graphs, search and discovery mechanisms.

The outputs will be integrated and validated against a set of real-world IoT use cases.

About you

A talent for technical problem solving is a must. You will encounter a wide range of technologies and data and will be given many opportunities to develop further your skills.

You will be responsible in contributing to iterative deliverables for the project such as technical reports, software integrations and source code releases. You will also be expected to travel abroad for project meetings and dissemination events. This is a collaborative project and will require you to actively liaise with other organisations.

Essential


	A PhD in Computer Science or Engineering (other closely related area) or and MSc with experience. 
	Experience with programming in Python, Java, or JavaScript in the context of data and metadata management and analysis for web-based solutions.
	Experience in Data engineering, analysis and management workflows for times-series (tabular, structured) data.
	Experience in developing workflows for metadata management, which can involve schema modelling, formatting, annotation, enrichment, search and discovery.
	Experience in Machine Learning model development/optimisation and workflows for time-series (tabular, structured) data, and for (generative) metadata enrichment.
	Experience with tools for source code management, automation pipelines for software development and machine learning processes, and deployment.
	Experience with virtualisation tools such as Docker and Kubernetes.
	Experience in technical and report writing for software-based projects.
	Strong critical thinking skills and ability to develop innovative solutions.
	Ability to communicate effectively and work efficiently within a research and development team. 
	Ability to take initiative, learn how to use the necessary tools for the research, and work independently, and collaboratively for integration tasks.


 Desirable


	An PhD in Computer Science or Engineering.
	Contributions to peer-reviewed publications, or other similar output.
	Experience with developing tools for linked or graph-based data.


How to apply

For more information or to be considered for the role, please apply via the University Website.

Further details
Job Description


Northeastern University, China

Rankings

World University Rankings 2024601-800^th

Business and Economics 2024501-600^th

Computer Science 2024501-600^th

Engineering 2024301-400^th

Life Sciences 2024501-600^th

Physical Sciences 2024601-800^th

Social Sciences 2024501-600^th

Discover similar universities

Key Student Statistics

Subjects Taught at Northeastern University, China

Social Sciences501–600^th

Physical Sciences601–800^th

Life Sciences501–600^th

Engineering301–400^th

Computer Science501–600^th

Business and Economics501–600^th

Company

Legal

Northeastern University, China

Rankings

Business and Economics 2024501-600th

Computer Science 2024501-600th

Engineering 2024301-400th

Life Sciences 2024501-600th

Physical Sciences 2024601-800th

Social Sciences 2024501-600th

Discover similar universities

Key Student Statistics

Subjects Taught at Northeastern University, China

Social Sciences.css-umjwst{margin-left:0.5rem;vertical-align:middle;font-size:0.75rem;color:#595959;}501–600th

Physical Sciences601–800th

Life Sciences501–600th

Engineering301–400th

Computer Science501–600th

Business and Economics501–600th

Business and Economics 2024501-600^th

Computer Science 2024501-600^th

Engineering 2024301-400^th

Life Sciences 2024501-600^th

Physical Sciences 2024601-800^th

Social Sciences 2024501-600^th

Social Sciences501–600^th

Physical Sciences601–800^th

Life Sciences501–600^th

Engineering301–400^th

Computer Science501–600^th

Business and Economics501–600^th