
RISE Research Institutes of Sweden AB · Göteborg
Description Vehicle-to-Grid (V2G) is a technology that allows electric vehicles (EVs) to not only draw power from the grid for charging but also feed stored en...
Description
Vehicle-to-Grid (V2G) is a technology that allows electric vehicles (EVs) to not only draw power from the grid for charging but
also feed stored energy back to the grid, supporting energy balance, grid stability, and renewable integration.
V2G promises valuable grid services, but the gap between theoretical control concepts and actual hardware performance is not fully
explored. The main objective of this thesis is to experimentally evaluate a V2G system under realistic operating conditions.
An advanced real-time simulation hardware platform will be employed in this thesis project, serving as both the control system and
the digital model of the grid and vehicle-side systems. Such a platform represents an intermediate step between offline simulation
and real vehicle operation.
Execution
Step 1 – Experimental setup
Step 2 – Experimental operation
ramps, and realistic profiles).
Expected outcome
The thesis will deliver a validated experimental setup along with quantitative evaluation of system capabilities and limitations.
Required skills
Personal interest in real-time control and energy system simulation is considered a merit. The work will be carried out in
Gothenburg. The thesis is recommended for one or two students.
The application deadline is September 30th, 2026.
Jonas Hellgren – RISE
jonas.hellgren@ri.se
Xiaoliang Huang – RISE
xiaoliang.huang@ri.se
This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. Video: https://youtu.be/Xt-yHCN5QS0About the position Robotic autonomy still lacks a universal architectural blueprint capable of operating across the wide diversity of robot configurations found in aerial, ground, and aquatic domains. Today’s autonomy stacks remain highly specialized to each morphology, in sharp contrast to the conserved neural organization of the mammalian brain, which provides a common computational blueprint across species despite profound differences in body plan and ecological niche. Motivated by this analogy – and building on recent advances in foundation models, neural model predictive control, and robotic world models – this PhD project will investigate principles and mechanisms for a shared autonomy architecture that generalizes across embodiments. The overarching ambition is to advance the foundations of a universal science of embodied AI, where perception, action, and learning are co-designed to support intelligent behavior in robots of fundamentally different forms. The PhD candidate will be supervised by Kostas Alexis, head of the Autonomous Robots Lab (ARL), and the position is part of the recently-funded Norwegian Centre for Embodied AI. About the project Join a nation-wide team: The Norwegian Centre for Embodied AI (NCEI), one of Norway’s six national AI centers, is recruiting outstanding researchers to advance a universal science of embodied intelligence. NCEI brings together leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges from the interaction between body, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to chart a generalizable path for physical AI and transform how robot morphology and autonomy are co-designed, enabling new generations of systems tailored to their operational environments and missions. Successful candidates will join an international community with world-class facilities and strong collaborations across Norwegian universities, research institutes, industry, public agencies, and leading global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier. Duties of the position • Fundamental contributions in embodied AI – unified autonomy architectures, foundation models and robot world models. • Focus on implementable methods for onboard robotic autonomy. • Experimental deployments and field evaluation of the conducted research. • Complete your doctoral education leading to the PhD degree. • Conduct and publish research of high-quality within the framework described above. • Participate in international activities such as conferences and/or research stays abroad. • Collaborate with other researchers within the department, and across departments at NTNU. • Supervise master’s thesis students related to the project. Be prepared for changes to your work duties after employment. Required selection criteria • You must have a Master's degree in cybernetics, control systems, or equivalent, with a strong training in robotics or computer vision or machine learning. • 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 faculty's doctoral program (see: https://www.ntnu.edu/ie/research/phd). • You must meet the requirements for admission to the IE Faculty. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU)for general criteria for the position. Preferred selection criteria • Solid theoretical background in robot perception and navigation. • Deep foundation in modern machine learning. • Solid programming skills in C++ and Python. Experience with ROS is a plus. • Experience with simulators for robotic systems. • Experience with implementation of real-life robotic systems. • Strong skills in mathematics, excellent capacity for mathematical formalism, and ability to grasp new concepts quickly. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: • Be scientifically curious and open to new research challenges. • Demonstrate independence and persistence in addressing technical problems. • Be flexible and reliable, with ability to work effectively independently and as part of a team. Emphasis will be placed on personal qualities. We offer • An exciting job with an important mission in society • Developing tasks in a strong and international professional environment • Career guidance and follow-up during the PhD period • Open and inclusive working environment with committed colleagues • Working capital that can be used to implement the project • Mentor programme as a new employee at NTNU • Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK) As a PhD Candidate at NTNU, you will have access to employee benefits. Diversity Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education. If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time. At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality. Salary and conditions In the position of PhD Candidate, code 1017, your gross salary will normally be from NOK 550 800,- per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD program in Engineering Cybernetics within three months of your employment contract start date, and that you participate in an organized doctoral program throughout the period of employment. The position is conditional on external funding. As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed. About the application The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English. Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request. The application must include: • Transcripts and diplomas for Bachelor's and Master's degrees. Documentation of a completed Master's degree must be presented before taking up the position. • CV • Short letter of motivation (400 words/1 page) • Names and contact information of minimum 2 relevant referees If all, or parts, of your education has been taken abroad, 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. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well. Joint work will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your participation. When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing the candidates. NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission). General information A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt 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 exemption is not granted. If you think this position looks interesting and in line with your qualifications, you are welcome to apply. If you have any questions about the position, please contact Professor Konstantinos Alexis, email: konstantinos.alexis@ntnu.no . If you have any questions about the recruitment process, please contact HR Consultant Berit Dahl, e-mail: berit.dahl@ntnu.no . Application deadline: 25.08.2026. For practical information about working at NTNU, please visit this webpage. The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech 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.
About the position We are offering one PhD position with specialisation in either comparative politics, or political data science. The successful applicant(s) will be part of the research project “Authoritarian Threats to Scientific Knowledge” (AutoKnow), which is funded by the European Research Council. The PhD fellowship period is three years and devoted to carrying out research and pursuing a PhD in the context of the AutoKnow project. The position may also include other career-enhancing activities: depending on the candidate’s competence and the teaching needs of the department, the fellowship period can be extended up to four years for qualification work consisting of e.g. teaching duties. The primary aims of AutoKnow are to investigate how the production of scientific knowledge is affected by authoritarian regimes and politics. The project will look at how authoritarian rule affects the contents and research trajectories of scientific fields, and which fields are targeted for repression and co-optation by authoritarian rulers and movements. It will use computational text analysis to measure content-dimensions of published science and collect different data on attacks on academic freedom. It will study how authoritarian rule affects scientific progress, topic choice, political bias, idea novelty and other dimensions. It will answer questions such as: • Which academic fields and institutions are repressed and which are supported by authoritarian leaders? • How does authoritarian rule shape the contents and political profile of academic work in different fields? • What is the impact of authoritarian rule on scientific progress? The PhD Fellow is expected to develop a research project within the overarching thematic scope of the larger project, namely authoritarian threats to science. While the PhD project should align with the framework of the main project, the candidate has significant flexibility to pursue their own approach and research agenda. The project proposal should above all include a tentative overall thematic and theoretical framework, along with at least three ideas for academic articles (see below). The Fellow will be expected to contribute to data collection and measurement, and data analysis. The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science. To promote a strategic career path, all PhD fellows are expected to submit a career development plan, specifying career goals and the competencies that the PhD fellow should acquire, no later than one month after commencement of the fellowship period. The department is responsible for ensuring that the plan is followed up and that the PhD fellow has access to career guidance throughout the duration of the fellowship. Qualification requirements Formal qualifications • Education equivalent to five years at university level in Norway, with two years (120 credits) at Master’s level in a relevant field. The MA thesis must be equivalent to at least half a year’s workload, i.e. 30 ECTS. • The Master’s degree must include relevant education in research methods or game theory. Other qualifications • Applicants must have a very good to excellent command of English (written and oral). • Applicants must be well-trained in conducting quantitative analyses. • Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of applicants primarily hinges on their documented academic qualifications and the research proposal. During the initial screening phase, a strong emphasis is placed on formal qualifications and academic grades, where top-tier grades and a highly commendable MA thesis are generally prerequisites for shortlisting. In the subsequent phase, the importance of the research proposal increases significantly. Additionally, factors such as academic suitability, motivation, and alignment with the project team are considered. We need different perspectives in our work UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no. We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues — could you be the next one? We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures. The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds. If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here. We offer • Salary according to “SKO 1017 PhD fellow”, NOK 550 800 - 595 000 per year. • Personal research funds that can be used for e.g. travel and research assistance (currently NOK 35 000 per year). • A stimulating and international research environment with multiple research groups and seminar series. • Involvement in a large research project that provides opportunities to build a network with scholars researching political elites around the world, including an annual workshop on the topic. • A friendly and inclusive workplace allowing for a good work-life balance. • Attractive UiO welfare benefits • Access to Norway’s excellent public services and welfare schemes, including generous parental leave provisions and affordable and accessible childcare (including the University’s kindergarten). • Norway’s capital with its easy access to beautiful nature and rich cultural life. • Introduction course for PhD Fellows: Teaching as a PhD candidate • Annual career development conversation based on the submitted career plan. • Various courses and workshops supporting career development (e.g., on dissemination and presentation skills, op-ed writing, and stress-management). • Financial and practical support for international staff moving to Norway (https://www.uio.no/english/about/jobs/ismo/) (international staff may also benefit from tax cuts in their first years) How to apply How to apply The application with attachments must be submitted in our electronic recruiting system. Please follow the link “apply for this job”. The online application must include the following items, which are to be submitted before the deadline (all documents should be in English or a Scandinavian language): • A cover letter (maximum two pages), including a statement of motivation • A research proposal (maximum 3,000 words including references - a word count must be provided on the front page). The proposal should clarify the research theme, main research questions, how the research contributes to existing literature and the project, theoretical approach, methodology, article ideas, and a timeline. A final research proposal must be developed in cooperation with the project leader within three months of the start date. • A CV summarizing education, positions, research and pedagogical experience, administrative experience, and other qualifying activities. Career breaks, including parental leave, that are noted in the CV will be taken into consideration when evaluating applicants' academic record. • Copy of Master’s thesis (in English or in a Scandinavian language). • Copies of transcripts: All applicants must submit their Master’s degree diploma and transcript(s), preferably together with a class distribution of grades. The transcript must specify the grade achieved for the Master’s thesis. • Official explanation of the grading and credit system at your university (foreign applicants). • Names and contact details for 2-3 reference persons (name, relationship to candidate, e-mail, and phone number). Reference letters are not needed. The application deadline is September 1, 2026. The screening and evaluation of candidates will begin immediately. The most promising candidates will be invited for interviews. We expect the whole evaluation process, from the application date to an offer being made, to take 6 to 12 weeks, depending on the number of applications. The expected start date is January 2027 or earlier but is subject to negotiation. Formal regulations Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we cannot, you will hear from us. Please see the regulations concerning terms and conditions of employment for the posts of postdoctoral research fellow, research fellow, research assistant and resident - University of Oslo (uio.no) (https://www.uio.no/english/about/regulations/personnel/academic/regulations-employment-conditions-postdoc.html) Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian), Guidelines concerning appointment to post doctoral and research posts at UiO and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo. The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.
The position The Department of Physics and Technology is thrilled to announce an opening for a PhD Fellow to join the exciting project, "Cosmic Dust Injection into the Upper Earth Atmosphere" (CODIA). The position is funded by the Research Council of Norway. The appointment is for a period of 3 years. The position is affiliated with the Space Physics group of the Department, which at present includes 5 faculty members, 5 PhD Fellows, and 1 Researcher. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position. The workplace is at UiT in Tromsø. You must be able to start in the position within a reasonable time after receiving the offer. The project The CODIA project is related to studies of meteoric smoke and ice particles in the mesosphere/ionosphere, cosmic dust entering the Earth’s atmosphere, meteors, and space debris. Observation methods include radar meteors and ionospheric phenomena observed with EISCAT and other instruments. We have new observational data from a rocket campaign conducted in the summer of 2025 and are planning new measurements for 2028. The successful candidate will participate in analyses of the measurements and related theory with investigations on the microphysics of dust like condensation, agglomeratiron and charge interaction. The PhD student will work together with project participants, other PhD students and Master students, as well as local, national, and international collaborators Qualifications To be qualified you must have a master’s degree in physics, space physics, geosciences, space engineering or a related field. If you are near completion of your master’s degree you may still apply, provided that you submit necessary documents as mentioned in the section "How to apply". Applicants must document fluency in English and be able to work in an international environment We are looking for candidates who have experience in one or more of the following areas: • atmospheric and ionospheric physics • space- and astrophysics • rocket or space experiments • cosmochemistry. Background on the physics of cosmic dust, meteor studies, ionospheric studies, in situ measurements, meteorite studies, cloud physics, microscopy, advanced image or data analysis are an advantage. In the assessment, the emphasis is on the applicant's potential to complete a research education based on the master's thesis or equivalent, and any other scientific work. In addition, other experience of significance for the completion of the doctoral programme may be given consideration. It is very import that you submit all necessary documents as listed in the section "How to apply", otherwise your application will not be evaluated. We will also emphasize motivation and personal suitability for the position. We are looking for someone with good social and collaboration skills and ability to work independently and in an interdisciplinary scientific environment. As many people as possible should have the opportunity to undertake organized research training. If you already hold a PhD or have equivalent competence, we will not appoint you to this position. Admission to the PhD programme For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Science and Technology and participate in organized doctoral studies within the employment period. Admission normally requires: • A bachelor's degree of 180 ECTS and a master's degree of 120 ECTS, or an integrated master's degree of 300 ECTS. In order to gain admission to the programme, the candidate must document sufficient potential for research. The applicant must have a grade point average of C (strong 3.0) or better for the master’s degree, which must contain an independent work. A more detailed description of admission requirements can be found here. If you are employed in the position, you will be provisionally admitted to the PhD programme. Application for final admission must be submitted no later than two months after taking up the position. Applicants with a foreign education will be subjected to an evaluation of whether the educational background is equal to Norwegian higher education, following national guidelines from Norwegian Directorate for Higher Education and Skills. Depending on which country the education is from, one or two additional years of university education may be required to fulfil admission requirements, e.g. a 4-year bachelor's degree and a 2-year master's degree. UiT normally accepts higher education from countries that are part of the Lisbon Recognition Convention. Inclusion and diversity UiT The Arctic University of Norway is working actively to promote equality, gender balance and diversity among employees and students, and to create an inclusive and safe working environment. We believe that inclusion and diversity are a strength, and we want employees with different competencies, professional experience, life experience and perspectives. If you have a disability, a gap in your CV or immigrant background, we encourage you to tick the box for this in your application. If there are qualified applicants, we invite at least one in each group for an interview. If you get the job, we will adapt the working conditions if you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics. We offer • Involvement in an interesting research project • Good career opportunities • A good academic environment with dedicated colleagues • Flexible working hours and a state collective pay agreement • Pension scheme through the state pension fund • PhD Fellows are normally given a salary of 565 000 NOK/year with a 3% yearly increase • If you have to relocate to Tromsø then the Faculty of Science and Technology may reimburse your moving costs. Further details regarding this matter will be made available if you receive an offer from us. Norwegian health policy aims to ensure that everyone, irrespective of their personal finances and where they live, has access to good health and care services of equal standard. As an employee you will become member of the National Insurance Scheme which also include health care services. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility How to apply Your application must include: • 2-page summary of their master thesis work as well as a motivation letter • CV • Official diplomas for Bachelor's and Master's degree in the original language • Official transcripts of grades/academic record for Bachelor's and Master's degree in the original language • Official translation of diplomas and transcripts of records (ToR) to English or a Scandinavian language, if applicable • Explanation of the grading system for foreign education (Diploma Supplement if available) • Documentation of English proficiency. If English proficiency is not documented in the application, it must be documented before starting in the position. • References with contact information • Master’s thesis, and any other academic works Qualification with a master’s degree is required before commencement in the position. If you are near completion of your master’s degree, you may still apply and submit a draft version of the thesis and a statement from your supervisor or institution indicating when the degree will be obtained. You must still submit your transcript of grades for the master’s degree with your application. All documentation to be considered must be in a Scandinavian language or English. General information The appointment is made in accordance with State regulations and guidelines at UiT. At our website, you will find more information for applicants. The engagement is to be made in accordance with 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. After the appointment you must assume that there may be changes in the area of work. Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. You will become a member of the Norwegian Public Service Pension Fund, which gives you many benefits in addition to a lifelong pension: You may be entitled to financial support if you become ill or disabled, your family may be entitled to financial support when you die, you become insured against occupational injury or occupational disease, and you can get good terms on a mortgage. Read more about your employee benefits at: spk.no. A shorter period of appointment may be decided when the PhD Fellow has already completed parts of their research training programme or when the appointment is based on a previous qualifying position PhD Fellow, research assistant, or the like in such a way that the total time used for research training amounts to three years. We process personal data given in an application or CV in accordance with the Personal Data Act (Offentleglova). According to the Personal Data Act information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure. You will receive advance notification in the event of such publication, if you have requested non-disclosure. Assessment The applicants will be assessed by an expert committee. The committee's mandate is to undertake an assessment of the applicants' qualifications based on the written material presented by the applicants, and the detailed description draw up for the position. A copy of the assessment report will be sent to all applicants. The applicants who are assessed as best qualified will be called to an interview. The interview should among other things, aim to clarify the applicant’s motivation and personal suitability for the position.