At the Faculty of Engineering and Science, Department of Materials and Production one or more PhD positions in the area of AI for Autonomous Systems are open for appointment from 1 December 2023 or soon thereafter. Department of Materials and Production (MP) is a wide-ranging research and educational environment at Aalborg University. The Department’s mission is to meet the future’s demands for new materials and production systems by directing the whole value chain from basic material understanding, materials’ applications in mechanical constructions, industrial production and management. The department has several strong, international and innovative research groups which comprise everything from basic science to strategic and applicable research. The activities encompass research as well as education within materials, mechanics, physics, production technique, and industrial management and innovation. Benefitting the industry and additional collaborators several innovative and unconventional collaborations have been and are developed through interdisciplinary co-operations. Thereby, as an employee at the Department you will become a part of an international research environment, where focus is on innovation, knowledge sharing/building and interdisciplinary collaborations.

Job description

The positions are within the Operations Research(OR) group at Aalborg University and the research will be conducted in highly synergic cooperation with leading Danish and European companies and international academic partners. The OR group focuses on solving complex problems, which require high-level modelling, data analysis and management capabilities as well as developing solution algorithms applying mathematical and computational approaches. The group has a particular focus on automated decision making in autonomous cyber-physical systems. Autonomous systems and decision support systems will increasingly define the future. While significant strides have been made in the development of autonomous systems, their reliability and safety remain key concerns, particularly in environments characterized by uncertainty. These PhD positions are an unparalleled opportunity to contribute to creating trustworthy real-time autonomous systems. Collaborative endeavors with industrial and public partners guarantee the tangible application of the research, facilitating a substantial impact on the realm of autonomous technologies.

These PhD positions will tackle these challenges by converging operational research, machine learning, and decision-making methodologies. The ultimate goal is to create real-time autonomous systems that are not only trustworthy but also adaptive in the face of unpredictable operational conditions.

The successful candidate will have a solid foundation in AI methods for predictive and/or proscriptive problems and will demonstrate the ability to use this background to:

• Develop innovative decision-making strategies that seamlessly integrate operational research techniques and machine learning algorithms.
• Engineer solution algorithms and systems that enhance the robustness, flexibility, and adaptability of autonomous systems.
• Address multi-agent operations, where interactions between agents are intricate and interconnected.
• Ensure that the develop methodologies provide transparency and trustworthiness in the decision-making processes of autonomous systems.
• Disseminate research findings through academic journals and conferences. Collaborate with industrial and public partners to apply research outcomes in practical applications, bridging the gap between academia and industry.

The PhD candidate is expected to have:

• Bachelor’s and Master’s degrees(or equivalent) in Operations Research, Computer Science, Mathematics, Applied Mathematics, or related fields.
• Proficiency in programming languages such as Python, R, or other programming languages.
• Familiarity with multi-agent systems, probability theory, and combinatorial optimization.
• Experience in decision-making under uncertainty and autonomous system operation.
• High level written and spoken English skills.

You may obtain further information from Professor Izabela Nielsen, Department of Materials and Production, email:izabela@mp.aau.dk concerning the scientific aspects of the stipend.

PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.

For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Ruth Klitte, The Doctoral School at The Faculty of Engineering and Science, email:rk@adm.aau.dk

For more information of The Doctoral School of Engineering and Science:www.phd.engineering.aau.dk

The application is only to be submitted online by using the”Apply online” button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Wages and employment

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 15 December 2021 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

Ref number

915-23075

Deadline: 2023-10-25 at 23:59
Unit: aau

Read the job description at the university homepage or apply.

Post expires on Wednesday October 25th, 2023

At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in Large-Scale Brain Neural Networks for Microgrids is open for appointment from January 1st, 2024 to June 30, 2025 or soon hereafter.

Job description

Aalborg University contributes to the knowledge building of the global society as well as the development of prosperity, welfare and culture of Danish society. This is accomplished through research, research-based
education, public sector services and knowledge collaboration. Aalborg University educates students for the future and activities are based on a dynamic and transformative collaboration with the surrounding
community.

AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings.
AAU Energy has a very international environment and covers all areas of clean and sustainable energy systems of the future within electrical, thermal and mechatronic energy technology. AAU Energy has campuses in both Aalborg and Esbjerg, this position is located in Aalborg.

The mission is to be world leading in both research and research-based education of the energy engineers of the future. AAU Energy has approx. 300 employees of many nationalities, of which 25 are administrative staff. In addition, AAU Energy constantly has approx. 50-70 guest researchers from around the world.

Research and teaching are in the absolute world elite in the field of energy, and we have extensive and leading workshop and laboratory facilities, where research and innovation are carried out in direct collaboration with industry to a great extent.

The position is offered in relation to the research program”Microgrids” and the Postdoc will be positioned to the section for Electric Power Systems and Microgrids.

Research areas will be within the modeling and development of neural network based cyber-resilient control systems for microgrids. The successful candidate will play a crucial role in advancing the field of power system
and control system engineering by integrating cutting-edge brain neural network-based techniques to enhance the cyber-resilience and protection of microgrid systems. The primary objective of this position is
to develop innovative large scale brain neural network-based control strategies that can effectively protect cyber-physical threats and ensure reliable operation of microgrids. This position offers an exciting
opportunity to contribute to cutting-edge research at the intersection of neuroscience, control systems, and microgrid technology.

Specific requirements:

• Ph.D. in a relevant field, such as control or power systems engineering.
• Deep understanding of large-scale brain neural networks and their potential applications in microgrids.
• Strong research experience with a focus on designing and implementing novel algorithms that utilize
  neural network models for optimizing microgrid operation and control.
• Proficiency in programming languages like Matlab and Python for analyzing complex microgrid
  datasets and developing advanced solutions.
• Track record of publishing high-quality research papers in reputable conferences and journals,
  demonstrating the ability to contribute to the academic community.
• Experience working in a high-level research group in a reputable university will be an asset.
• Mentoring and supervising graduate students and providing guidance on related research projects.

If you have any questions in relation to the practicalities within this announcement, you may obtain further professional information from Corina Busk Gregersen, Email:hr@energy.aau.dk. 

Qualification requirements: 

Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

The application must contain the following:

• A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
• A current curriculum vitae.
• Copies of relevant diplomas(Master of Science and PhD). On request you could be asked for an official English translation.
• Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
• Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
• Additional qualifications in relation to the position. References/recommendations.
• Personal data.

The applications are only to be submitted online by using the”Apply online” button below.

Shortlisting will be applied. After the review of any objections regarding the assessment committee, the head of department, with assistance from the chair of the assessment committee, selects the candidates to be assessed. All applicants will be informed as to whether they will advance to assessment or not.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

For further information concerning the application procedure, please contact Pernille Kjærup Sørensen HR-Servicecenter EST by mailest-ef-hr@adm.aau.dk

Read more about AAU atwww.aau.dk. 
Read more about the AAU Energy atwww.energy.aau.dk.

Wages and employment

Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministry of Finance’s current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.  

Ref number

2023-224-05489

Deadline: 2023-10-19 at 23:59
Unit: AAU Energy

Read the job description at the university homepage or apply.

Post expires on Thursday October 19th, 2023

At the Faculty of Medicine, Department of Clinical Medicine a PhD stipend is available within the doctoral programme Epidemiology and Biostatistics. The stipend is open for 3 years’ appointment starting from 1 November 2023 or soon hereafter.

Job description

We have a PhD stipend available for an epidemiological, register-based research project on cancer and palliative care for patients with pre-existing mental disorders. The project is part of the research programCASEMED(Cancer patients with Severe Mental Disorders).

The PhD fellow will primarily be affiliated with Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University(AAU). The center is a well-established multidisciplinary research environment with access to expertise within clinical epidemiology, biostatistics, and health economics and a vibrant community with other PhD fellows.  

In addition to the activities related to the CASEMED project, this includes participation in mandatory PhD courses, teaching and mentoring of students, participation in international conferences and foreign stays, as well as contributions to and participation in other research and educational activities at Danish Center for Health Services Research. 

Furthermore, the PhD student is expected to collaborate closely with and be affiliated with the CASEMED research group at Aarhus University Hospital. Thus, regular presence in Aarhus is expected, as agreed upon in more detail. Candidates with experience in epidemiological research, including published articles, will be preferred.

Concerning the scientific aspects of the stipend you may obtain further information from Clinical Professor Søren Paaske Johnsen(spj@dcm.aau.dk), Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University.

Qualifications and specific competencies required:
– Relevant Master’s degree.
– Excellent verbal and writing skills in English with excellent communication skills.

PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School in Medicine, Biomedical Science and Technology in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.

For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Ruth Klitte, The Doctoral School at The Faculty of Medicine, email:rk@adm.aau.dk 

Application requirements- Applicants must submit the following:
– letter of motivation
– curriculum vitae(including list of publications, if available)
– diplomas confirming academic degrees(Master’s degree), including academic transcripts

For more information of the The Doctoral School in Medicine, Biomedical Science and Technology:http://www.medicine.aau.dk/doctoral-school/

The application is only to be submitted online by using the”Apply online” button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Wages and employment

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 15 December 2021 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

Ref number

23-23073

Deadline: 2023-10-06 at 23:59
Unit: aau

Read the job description at the university homepage or apply.

Post expires on Friday October 6th, 2023

The Techno-Anthropology Lab, Department of Culture and Learning at Aalborg University in Copenhagen offers one Postdoc position for two years or two Postdoc positions for one year in the project “Transnational Collaboration at the Digital Frontier: Knowledge travel across borders in public sector digitalisation”. Start 1 January 2024 or soon thereafter.

Job description

The candidate will participate in cutting-edge research on the societally transformative effects of public digitalization. The project considers public sector digitalisation as increasingly driven bytransnational collaboration and investigates how best practices of digital government travel across national contexts, and what politically and culturally transformative effects this may have on national welfare states. An STS-informed study, the project theorises public digitalisation as a transnational network of artefacts, expertise, and events. The postdoc will focus on the circulation and development of artefacts and expertise in networks of public sector officials.

The project is funded by the Independent Research Fund Denmark and is led by PI, Associate Professor and Director of the Center for Digital Welfare, Irina Papazu at the IT University of Copenhagen. The candidate will also collaborate with co-PI, Assistant Professor, Jessamy Perriam at the IT University, Assistant Professor Alexei Tsinovoi at Aarhus University, and a PhD student based at the IT University.

Based at the Techno-Anthropology Lab, the candidate will work with Associate Professor Anders Kristian Munk and the other project members on two interrelated sub projects: one will investigate how open-source code that underlies public digitalization efforts is shared through code repositories such as GitHub, and the other will investigate the circulation of organisational knowledge and expertise through a digital methods analysis of public debates in the professional networks of public actors involved in digitalization on platforms such as Twitter and LinkedIn.

The ideal candidate should have a background in STS or similar and competencies in both digital methods and online ethnography. Experience with web scraping and API-based methods, including proven ability to write and adapt scripts, will be a priority. The candidate should be able to demonstrate research interest in digitalization processes, documented by a PhD thesis or other publications.

POST DOCTORAL POSITION
The position will be heavily weighted in favour of research. In addition, there will be a certain amount of teaching activities. The performance of other duties may be required to a limited extent. The university determines the exact weighting of the various responsibilities. The weighting of the various responsibilities may vary over time.

Appointment as a postdoc cannot exceed a period of four years in total at Aalborg University. Appointment at postdoc level cannot exceed a period of eight years in total in Denmark, however max. six years at Assistant Professor level- which includes Postdoc- at the same institution.

QUALIFICATION REQUIREMENTS
Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications.

THE APPLICATION
The application must contain the following:

• Your CV. 
• A complete publication list and markings of the attached publications to be taken into consideration in connection with the assessment. No more than five publications may be attached.
• In case you attach joint, a co-author statement must be enclosed specifying your contribution to the joint work. The co-author statement must be signed by at least one of the co-authors. Template co-author declaration.
• Documentation of your teaching qualifications.Guidance Teaching portfolio
• Copies of your degree certificates(including Master’s and PhD certificates) 

Your application including attachments must be sent electronically by clicking the“Apply online” link below.

The application must be written in English. 

ASSESSMENT
Applicants will be assessed by an assessment committee.

Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select applicants for assessment. Before the shortlisting takes place, all applicants will get the opportunity to comment on the composition of the assessment committee. All applicants will be informed whether they are selected for assessment or not.

All assessed applicants will get the opportunity to comment on their own assessment, and may be invited to an interview and/or asked to give a trial lecture.

When the employment process has been terminated, a final rejection will be sent to the applicants who are not considered for the position.

CONTACT INFORMATION
Any enquiries about the position may be addressed to Anders Kristian Munk, email anderskm@ikl.aau.dk.

Any enquiries relating to the application procedure should be addressed to Human Resources, emailSSH-hr@adm.aau.dk.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Wages and employment

Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministry of Finance’s current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.

Ref number

2023-224-05541

Deadline: 2023-10-08 at 23:59
Unit: aau

Read the job description at the university homepage or apply.

Post expires on Sunday October 8th, 2023

At the Faculty of Engineering and Science, Department of Materials and Production one or more Postdoc positions in the area of AI for Autonomous Systems are open for appointment from January 1 st, 2024 or soon thereafter. The position i available for a period of 2 years.  Department of Materials and Production (MP) is a wide-ranging research and educational environment at Aalborg University. The Department’s mission is to meet the future’s demands for new materials and production systems by directing the whole value chain from basic material understanding, materials’ applications in mechanical constructions, industrial production and management. The department has several strong, international and innovative research groups which comprise everything from basic science to strategic and applicable research. The activities encompass research as well as education within materials, mechanics, physics, production technique, and industrial management and innovation. Benefitting the industry and additional collaborators several innovative and unconventional collaborations have been and are developed through interdisciplinary co-operations. Thereby, as an employee at the Department you will become a part of an international research environment, where focus is on innovation, knowledge sharing/building and interdisciplinary collaborations.

Job description

The positions are within the Operations Research(OR) group at Aalborg University and the research will be conducted in highly synergic cooperation with leading Danish and European companies and international academic partners. The OR group focuses on solving complex problems, which require high-level modelling, data analysis and management capabilities as well as developing solution algorithms applying mathematical and computational approaches. The group has a particular focus on automated decision making in autonomous cyber-physical systems. The application area of the work covers a wide range of such systems spanning AGVs, UAVs, USVs, satellites, and more. These topics are also the ones addressed by this position. The applicant’s profile should therefore, ideally, address one or several of topics within AI: optimization algorithm(learning-based, heuristics, meta-heuristics, exact methods) design and/or development, algorithm implementation, and/or software engineering. 

We are looking for candidates with a strong interest in interdisciplinary research at the intersection of Computer Science, Operations Research, and Mathematics. Backgrounds in algorithm design and implementation or machine learning or computational optimization along with strong programming skills, in e.g., Java, C, C++ and Python, will be an advantage. The candidate is expected to contribute to ongoing research projects as well as participate in activities supporting future research projects and initiatives.

As a successful applicant, you will participate in research projects with world-leading partners in areas such as: manufacturing, transportation, health care and aerospace. You will contribute to academic and collaborative research activities in the group and with external partners. You will also potentially to a smaller extent contribute to education activities in bachelor and master programs supported by the group.

The candidate should be able to highlight research activities in the form of ISI’s Web of Science publications and the preferred candidate will also be able to demonstrate the application of research in practice. Appropriate candidates should have a master’s and PhD degree in Computer Science, Software Engineering, Operations Research, Applied Mathematics, Robotics or a related field.

Interested applicants may obtain further professional information from Associate Prof. Peter Nielsen,+459940 8932 or e-mail:peter@mp.aau.dk

Qualification requirements: 

Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

The application must contain the following:

• A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
• A current curriculum vitae.
• Copies of relevant diplomas(Master of Science and PhD). On request you could be asked for an official English translation.
• Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
• Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
• Additional qualifications in relation to the position. References/recommendations.
• Personal data.

The applications are only to be submitted online by using the”Apply online” button below.

Shortlisting will be applied. After the review of any objections regarding the assessment committee, the head of department, with assistance from the chair of the assessment committee, selects the candidates to be assessed. All applicants will be informed as to whether they will advance to assessment or not.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

For further information concerning the application procedure please contact Pernille Kjærup Sørensen by mailest-ef-hr@adm.aau.dk. Information regarding guidelines, ministerial circular in force and procedures can be seenhere. 

Wages and employment

Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministry of Finance’s current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.  

Ref number

2023-224-05534

Deadline: 2023-10-31 at 23:59
Unit: aau

Read the job description at the university homepage or apply.

Post expires on Tuesday October 31st, 2023

At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in Artificial intelligence-based health prediction for Smart battery lifetime extension is open for appointment from April 1, 2024 to March 31, 2026 or soon hereafter.

Job description

Aalborg University contributes to the knowledge building of the global society as well as the development of prosperity, welfare and culture of Danish society. This is accomplished through research, research-based
education, public sector services and knowledge collaboration. Aalborg University educates students for the future and activities are based on a dynamic and transformative collaboration with the surrounding community.

AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings.
AAU Energy has a very international environment and covers all areas of clean and sustainable energy systems of the future within electrical, thermal and mechatronic energy technology. AAU Energy has campuses in both Aalborg and Esbjerg, this position is in Aalborg.

The mission is to be world leading in both research and research-based education of the energy engineers of the future. AAU Energy has approx. 300 employees of many nationalities, of which 25 are administrative staff. In addition, AAU Energy constantly has approx. 50-70 guest researchers from around the world.

Research and teaching are in the absolute world elite in the field of energy, and we have extensive and leading workshop and laboratory facilities, where research and innovation are carried out in direct collaboration with industry to a great extent.
The position is offered in relation to the research program”Battery Storage Systems” and the Postdoc will be positioned to the section for Power Electronics System Integration and Materials.

Research areas will be within Artificial intelligence-based battery health prediction with transfer learning and the health management implementation in masters for smart battery lifetime extension. The work will focus on the implementation of advanced health prediction methods in control strategies development to extend the lifetime of smart batteries, including transfer learning-based battery health estimation and prediction, early prediction of battery health, health assessment based on probabilistic predictions, implementation of AI methods on master boards, and smart control for battery lifetime extension.

Specific requirements:

• Transfer learning-based battery health estimation and prediction using both fine-tuning and domain adaptation
• Health prognostics for smart batteries working with pulsed current
• Battery health assessment and accelerating aging detection
• Experience with battery aging experiments and AI lifetime prediction using Phyton
• The ideal candidate for this position should have a strong research interest in research related to data-driven aging model and smart battery management.

Furthermore, the successful applicant should be proficient in
English, have strong interpersonal skills for productive collaboration with Smart Battery project team members.

You may obtain further professional information from Professor Remus Teodorescu, phone+45 2787 9808, e-mailret@energy.aau.dk.

Qualification requirements: 

Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

The application must contain the following:

• A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
• A current curriculum vitae.
• Copies of relevant diplomas(Master of Science and PhD). On request you could be asked for an official English translation.
• Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
• Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
• Additional qualifications in relation to the position. References/recommendations.
• Personal data.

The applications are only to be submitted online by using the”Apply online” button below.

Shortlisting will be applied. After the review of any objections regarding the assessment committee, the head of department, with assistance from the chair of the assessment committee, selects the candidates to be assessed. All applicants will be informed as to whether they will advance to assessment or not.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

For further information concerning the application procedure, please contact Pernille Kjærup Sørensen HR-Servicecenter EST by mailest-ef-hr@adm.aau.dk.

Information regarding guidelines, ministerial circular in force and procedures can be seenhere. 

Read more about AAU atwww.aau.dk. 
Read more about the AAU Energy atwww.energy.aau.dk. 

Wages and employment

Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministry of Finance’s current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.  

Ref number

2023-224-05505

Deadline: 2023-10-18 at 23:59
Unit: AAU Energy

Read the job description at the university homepage or apply.

Post expires on Wednesday October 18th, 2023

At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc for up to 18 months in Probabilistic Risk Assessment in Modern Power Systems is open for appointment from January 2024 or soon hereafter, and is fixed for 18 months.

Job description

Aalborg University contributes to the knowledge building of the global society as well as the development of prosperity, welfare and culture of Danish society. This is accomplished through research, research-based
education, public sector services and knowledge collaboration. Aalborg University educates students for the future and activities are based on a dynamic and transformative collaboration with the surrounding
community.

AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings.
AAU Energy has a very international environment and covers all areas of clean and sustainable energy systems of the future within electrical, thermal and mechatronic energy technology. AAU Energy has campuses in both Aalborg and Esbjerg, this position is located in Aalborg.

The mission is to be world leading in both research and research-based education of the energy engineers of the future. AAU Energy has approx. 300 employees of many nationalities, of which 25 are administrative staff. In addition, AAU Energy constantly has approx. 50-70 guest researchers from around the world.

Research and teaching are in the absolute world elite in the field of energy, and we have extensive and leading workshop and laboratory facilities, where research and innovation are carried out in direct collaboration with industry to a great extent.

The position is offered in relation to the research program”Power Electronic Control Reliability and System Optimization” and the Postdoc will be positioned to the section for C(Applied for Power Electronics).
Research areas will be within Reliability and Risk Assessment in Modern Power Systems.

The position is part of Pro-Risk: mathematical methods for Probabilistic Risk modeling of green electric power systems, which is granted by Independent Research Fund Denmark(DFF) under Green Research scheme running from 2023 to 2026.

The main goal of the project is to model the risk of modern power systems with probabilistic methods including point estimate method, probabilistic collocation method, limit theorems, cumulant methods considering the known and unknown uncertainties. Modern power systems face various uncertainties including variable energy sources like solar and wind power plants, early life and aging failures of new technologies with time-variant hazard rates, uncertain demand from high-penetration of electric vehicles, etc. The conventional risk modeling approaches are modeling the average risk of the system without taking into account the characteristics of the uncertainties. This projects seeks building new methods for accurate
and agile risk modeling in large scale power systems with probabilistic methods. In this project, the applicant is expected to work on the following objectives:

• Analytical and probabilistic models for risk assessment with known and unknown uncertainties,
• Application of the built models for power systems with high penetration of renewable generations,
• Assessing the performance of the model with standard test systems.
  For consideration, interested applicants should submit the following documents:
  • Letter of motivation
  • Diplomas confirming academic degrees(PhD degree), and the academic transcripts.
  • Curriculum vitae
• Up to 3 relevant publications
• Project description(1-2 pages), which describes the applicant’s initial thoughts and ideas related to the specific project applied for. This includes a brief state-of-the-art(including short list of references), a time schedule and how the applicant intends to shed light on the project objectives.

All documentation should be in English and merged in a single PDF document. Please, note that applications which do not follow the announcement’s guidelines will not be considered.

Applicants are required to have an excellent academic background with a PhD degree or equivalent in Energy Engineering, Electrical Engineering, Computer Science or any other related discipline, with skills in
Modern Power System and:

• Motivation and potential for research activities. Ability to work independently and in a team. Be innovative and creative. Keep an open mind.
• Expertise with the following topics: Reliability and Risk Assessment in Power System, Reliability Engineering, Probability Theories and Uncertainty Analysis, Design and Planning of Power Systems.
• Expertise with Probabilistic reliability modeling and risk assessment methods including point estimate method, probabilistic collocation method, limit theorems, cumulant methods.
• Expertise with the following engineering tools and programming languages: Optimization, MATLAB/Python.
• Prior experience on any of these topics will be valued: Control and Operation of Renewable Power Plants.
• Excellent English language skills(both oral and written).
• Publications in international journals/conferences in the field of power system reliability.

You may obtain further professional information from Assistant Professor Saeed Peyghami, email:sap@energy.aau.dk. 

Qualification requirements: 

Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

The application must contain the following:

• A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
• A current curriculum vitae.
• Copies of relevant diplomas(Master of Science and PhD). On request you could be asked for an official English translation.
• Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
• Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
• Additional qualifications in relation to the position. References/recommendations.
• Personal data.

The applications are only to be submitted online by using the”Apply online” button below.

Shortlisting will be applied. After the review of any objections regarding the assessment committee, the head of department, with assistance from the chair of the assessment committee, selects the candidates to be assessed. All applicants will be informed as to whether they will advance to assessment or not.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Read more about AAU atwww.aau.dk. 
Read more about the AAU Energy atwww.energy.aau.dk. 

For further information concerning the application procedure, please contact Pernille Kjærup Sørensen HR-Servicecenter EST by mailest-ef-hr@adm.aau.dk. 

Wages and employment

Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministry of Finance’s current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.  

Ref number

2023-224-05487

Deadline: 2023-10-18 at 23:59
Unit: AAU Energy

Read the job description at the university homepage or apply.

Post expires on Wednesday October 18th, 2023

At the Technical Faculty of IT and Design, Department of Electronic Systems, a PhD stipend in wireless access for heterogeneous Internet of Things (IoT) is available within the general study programme on Wireless Communications. The stipend is open for appointment from January 1, 2024, or soon as possible thereafter. In electronics engineering, Aalborg University is known worldwide for its high academic quality and the societal relevance of its research programmes. The Department of Electronic Systems consists of more than 200 employees, of which about 40 % are international and about 90 are enrolled PhD students. The Department hosts 620 students. The Department’s excellent research infrastructures and facilities accentuate its global position in teaching and research. The Department’s research centres around communication, antennas, control systems, AI, sound, cybersecurity and robotics. The Department plays an active role in translating discoveries and results into practical applications with industrial partners and IPR. The Department provides teaching for several BSc and MSc programmes using a problem- and project-based learning model.

Job description

The Internet of Things(IoT) has caused a revolution not only in the world of wireless communications but also in our daily lives. Thanks to the vast number of IoT devices transmitting data autonomously, we have access to large amounts of data from the world around us and new IoT applications are appearning everyday. IoT devices were initially considered to be relatively simple, with limited processing and communication capabilities and running basic applications. However, IoT devices and applications are becoming more and more complex, specific, and diverse. This increase in complexity and diversity has major implications on the design of wireless access protocols for the IoT, as these must now be able to fulfill drastically different timing requirements. From devices that transmit sporadically and require ultra-high reliability to devices that transmit frequent updates and require a low age-of-information(AoI), the IoT systems of the future must be flexible and efficient, capable of providing the required differentiation of the services based on their requirements. Moreover, new access protocols for the IoT must be able to exploit the capabilities of state-of-the-art network architectures and multi-antenna technologies.

This position is offered in the context of an industrial research project focusing on the design of wireless access mechanisms for heterogeneous IoT services. The PhD researcher will be affiliated with the Connectivity Section at Aalborg University.

The research focus areas will encompass wireless access protocols, multi-antenna technologies, and machine learning(ML) for wireless communications. We expect candidates to demonstrate thorough knowledge in one or more of the following areas:

•  Analysis and modelling of wireless communication systems.
•  Design and performance analysis of multiple and random access protocols.
•  ML and artificial intelligence for wireless communications.
•  Massive multiple-input multiple-output(mMIMO) techniques and network architectures, e.g., cell-free mMIMO.

A solid mathematical background and experience in scientific programming and simulation(Matlab, Python, or C++) are also required.

You may obtain further information from Assistant Professor Israel Leyva Mayorga, Department of Electronic Systems, email: ilm@es.aau.dk, concerning the scientific aspects of the stipend.

PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.

For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Lisbeth Diinhoff, The Doctoral School at The Technical Faculty of IT and Design, email:ld@adm.aau.dk, phone:+45 9940 9589.

For more information of The Technical Doctoral School of IT and Design:www.phd.tech.aau.dk

The application is only to be submitted online by using the”Apply online” button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Wages and employment

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 15 December 2021 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

Ref number

8-23072

Deadline: 2023-11-01 at 23:59
Unit: Department of Electronic Systems

Read the job description at the university homepage or apply.

Post expires on Wednesday November 1st, 2023

At the Technical Faculty of IT and Design, Department of Electronic Systems, a position as postdoc in Self-Supervised Learning for Decoding of Complex Signals is open for appointment from December 1, 2023, or as soon as possible thereafter. The position is available for 24 months. In the area of electronics engineering, Aalborg University is known worldwide for its high academic quality and the societal relevance of its research programmes. The position is 37 hours per week. In electronics engineering, Aalborg University is known worldwide for its high academic quality and the societal relevance of its research programmes. The Department of Electronic Systems consists of more than 200 employees, of which about 40 % are international and about 90 are enrolled PhD students. The Department hosts 620 students. The Department’s excellent research infrastructures and facilities accentuate its global position in teaching and research. The Department’s research centres around communication, antennas, control systems, AI, sound, cybersecurity and robotics. The Department plays an active role in translating discoveries and results into practical applications with industrial partners and IPR. The Department provides teaching for several BSc and MSc programmes using a problem- and project-based learning model.

Job description

This postdoc position is funded by the Pioneer Centre for Artificial Intelligence’s collaboratory, Signals and Decoding. The Pioneer Centre for AI is located at the University of Copenhagen, with partners at Aarhus University, Aalborg University, The Technical University of Denmark, and the IT University of Copenhagen. Postdocs at the Pioneer Centre for AI will have extraordinary access to computing resources, to international researchers across many disciplines within computer sciences and other academic areas, as well as courses and events at the centre, and meaningful collaboration with industry, the public sector, and the start-up ecosystem.
 
Centre website: Aicentre.dk.

To date, most successful applications of deep learning in signals and decoding are based on supervised learning. However, supervised learning is contingent on the availability of labeled data, i.e., each sample has a semantic annotation. The need for labeled data is a serious limitation to applications at scale and complicates the maintenance of real-life supervised learning systems. 

The typical situation is that unlabeled or weakly labeled data is abundant, and this has given rise to paradigms such as weakly-supervised and self-supervised learning. Both learning paradigms are based on large amounts of data with no or weak labels. While self-supervised learning is based on supervised learning with a supervisory signal or label derived from the data itself, weakly supervsied learning is based on limited, coarse-grained or inaccurate labels.

The goal of this postdoc project is to develop novel weakly- and self-supervised methods for modeling signals of various modalities(e.g., speech, audio, text, and vision) and analyse the complexity of the developed models. The postdoc during the project is further provided with opportunities to do research at other units and the headquarter of the Pioneer Centre as well as abroad. 

The postdoc candidate is expected to have: 
– A PhD degree or a similar in Computer Science, Electronic Engineering, Computer Engineering, Applied Mathematics or equivalent
– In-depth knowledge in machine learning and deep learning
– Hands-on experience with Python and deep learning frameworks
– Experience with at least one of the following areas: speech/audio processing, natural language processing, computer vision or signal processing
– A competitive research record
– Strong analytical and experimental skills 
– High-level of motivation and innovation
– High-level of written and spoken English 

You may obtain further professional information from Professor Zheng-Hua Tan, Department of Electronic Systems, email:zt@es.aau.dk.

Qualification requirements: 
Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

The application must contain the following:
– A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
– A current curriculum vitae.
– Copies of relevant diplomas(Master of Science and PhD). On request you could be asked for an official English translation.
– Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
– Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
– Additional qualifications in relation to the position. References/recommendations.
– Personal data.

Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.

Workplace: Aalborg

Wages and employment

Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministry of Finance’s current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.  

Ref number

2023-224-05516

Deadline: 2023-11-08 at 23:59
Unit: Department of Electronic Systems

Read the job description at the university homepage or apply.

Post expires on Wednesday November 8th, 2023

At the Facullty of Engineering and Science, Department of the Built Environment, a PhD stipend is available within the doctoral programme “Civil Engineering “. The stipend is open for appointment from November  1, 2023 or soon hereafter in Aalborg.

Job description

The COVID-19 pandemic is a respiratory infection disease and it has caused global health concern. WHO has identified airborne transmission as a principal route for SARS-CoV-2, especially in crowded and poorly ventilated indoor environments. The prevention measures recommended by the authorities are primarily applied to control contact and droplet transmissions, but their protective effects regarding airborne transmission are still unclear. The project aims to provide a further understanding of the mechanism of airborne transmission and evaluate the performance of prevention measures on reducing the airborne infection risk under critical scenarios.

The project will involve the development of a‘realistic’ respiration manikin to simulate human respiratory exposure. It will investigate the characteristics of airborne transmission from release, transport to exposure, and identify the critical parameters that influence the cross-infection risk, including person related parameters and ventilation related parameters. Additionally, the project will evaluate the protective effects of prevention measures practically applied during COVID-19 and potential ventilation solutions.

Applicants are required to have an excellent academic background with a Master’s degree or equivalent in Indoor Environment and Energy Engineering, Aerosol Science and Technology, Fluid Dynamics and Building Ventilation, Air Quality and Health or any other related discipline. A successful applicant should have the following qualifications:

• Motivation and potential for research activities. Ability to work independently and in a team. Be innovative and creative. Keep an open mind. Be internationally oriented
• Expertise within the following topics will be an advantage: Development of experiments, particularly in flow visualization, tracer gas and aerosol measurement; Computational fluid dynamics(CFD)
• Expertise with the following experimental instruments and simulation software can be an advantage but not limited to: Particle image velocimetry(PIV), schlieren photography, aerosol generators and sizers, CFD software, e.g., ANSYS
• Excellent English language skills(both oral and written)
• Publications in international journals/conferences will be valued

 For consideration, interested applicants should submit the following documents:

• Letter of motivation
• Diplomas confirming academic degrees(Master degree), and the academic transcripts.
• Curriculum vitae
• Publications(if applicable)
• Project description(3-5 pages), which describes the applicant’s initial thoughts and ideas related to the specific project applied for. This includes a brief state-of-the-art(including short list of references), a time schedule and how the applicant intends to shed light on the project objectives

You may obtain further information concerning the scientific aspects of the position from Associate Professor Chen Zhang, Department of the Built Environment, email:cz@build.aau.dk.

PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

Shortlisting will be applied. This means that subsequent to the deadline for applications, the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.

For further information about stipends and salary as well as practical issues concerning the application procedure, please contact Annemarie Davidsen, The Doctoral School at The Faculty of Engineering and Science, email:ada@adm.aau.dk, phone:+45 9940 2109.

For more information of The Doctoral School of Engineering and Science:www.phd.engineering.aau.dk 

The application is only to be submitted online by using the”Apply online” button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Wages and employment

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 15 December 2021 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

Ref number

6-23069

Deadline: 2023-10-06 at 23:59
Unit: Department of the Built Environment

Read the job description at the university homepage or apply.

Post expires on Friday October 6th, 2023

At Center for Data Engineering, Science and Systems (DESS), Department of Computer Science, Aalborg University, a postdoc position is open for appointment from November 1, 2022, or soon thereafter. The postdoc position is for one year with possibility of extension for up to one more year. The project is funded by a Novo Nordisk Foundation RECRUIT grant (“Data Management, Algorithms, & Machine Learning for Emerging Problems in Large Networks – with Interdisciplinary Applications in Life & Health Sciences”. NNF22OC0072415).

Job description

Department of Computer Science at Aalborg University is highly regarded in Denmark among researchers, students, and external partners because of our leading research, education, and collaboration. The department currently has more than 160 scientific staff, 20 administrative staff, and 1200 students. Our research is recognised internationally and nationally to be at the highest level of excellence according to community standards, prioritizing quality over quantity. We balance applications and theory, and societal and scientific impact, applying research to solve real-world problems, while also conducting foundational research with potential long-term impact. As part of this, we are acknowledged and respected for close collaboration with industry and for applying research to create impact and value for society.

The research is in the broad area of graph data management, mining, systems, and machine learning on graphs, including knowledge graphs, social and biological networks, financial networks, temporal and dynamic graphs, uncertain graphs, explainability and fairness of deep learning methods on networks.

The aim will be publishing several research papers at top-tier data mining, data management, or machine learning conferences based on the research work. The project’s principal supervisor is Associate Professor Arijit Khan, Department of Computer Science. His research works can be found at https://homes.cs.aau.dk/~Arijit/,https://scholar.google.com/citations?user=6Y-m8k4AAAAJ&hl=en and athttps://dblp.org/pid/67/2933.html.  For further information or questions, please do not hesitate to contact him atarijitk@cs.aau.dk.

Within the area, the position comes with many freedoms in terms of the specific research direction, methodology, and approaches taking the specific project needs into consideration. 

 Aalborg University was founded in 1974 and has a strong international profile in Mathematics, and Computer Science& Engineering. The Computer Science Department at Aalborg University takes a leading international position within data management and verification. Aalborg is an attractive student city located at a fjord and close to the sea, and is well-connected(by car, train, but also via Aalborg Airport). Denmark in general, and Aalborg in particular, are known for their excellent quality of life. Denmark took the top spot on the United Nation’s World Happiness Report, 2013& 2014& 2016.

Links:
  https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems
  https://www.cs.aau.dk

Limited teaching within the area can be expected, but also in other study programmes at the University. 

Qualification requirements: 

Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

The application must contain the following:

• A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
• A current curriculum vitae.
• Copies of relevant diplomas(Master of Science and PhD). On request you could be asked for an official English translation.
• Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
• Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
• Additional qualifications in relation to the position. References/recommendations.
• Personal data.
• References/recommendations.

The applications are only to be submitted online by using the”Apply online” button below.

Shortlisting will be applied. After the review of any objections regarding the assessment committee, the head of department, with assistance from the chair of the assessment committee, selects the candidates to be assessed. All applicants will be informed as to whether they will advance to assessment or not.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

For further information concerning the application procedure please contact Søren Kjelst Klausen by mailest-st-hr@adm.aau.dk or phone(+45) 9940 3939.

Information regarding guidelines, ministerial circular in force and procedures can be seenhere. 

Wages and employment

Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministry of Finance’s current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.  

Ref number

2023-224-05514

Deadline: 2023-10-03 at 23:59
Unit: Department of Computer Science

Read the job description at the university homepage or apply.

Post expires on Tuesday October 3rd, 2023

At Aalborg University Business School, Faculty of Social Sciences and Humanities, one position, as PhD student within economics, business, and management with a particular focus on gender equality in the Danish labor market, is open for appointment on December 1, 2023, or as soon as possible thereafter.

Job description

The PhD position is financed by the SparNord Fondens PhD program 2023. The title of the project is“The-trickle down effect. Er kvinder i bestyrelser en genvej til ligestilling i danske virksomheder?” This project should mainly analyse if and how more women on the board of directors in Denmark is a mean to address the continuous problems with gender inequality in Danish companies(please see Equalis, 2023)

The application must include the following and be written in English or Danish:
 –Application for enrollment
 – Copy of diplomas/transcripts
 – Curriculum vitae(CV)
 –Project description
 – List of written work(optional)
 – Sample of written work, e.g. Master’s thesis(optional)

Foreign applicants must forward verified IELTS test(International English Language Testing System). Exempted are applicants with a master’s degree from a Scandinavian country, United Kingdom, Ireland, South Africa, Australia, and Canada.

For general information about the application process etc., please contact Vigdis Skomager-Bohnfeldt, e-mail: vkns@adm.aau.dk, phone:+45 9940 7408.

Wages and employment

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 15 December 2021, on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular on the employment structure at Danish Universities.
AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Ref number

2023-224-05493

Deadline: 2023-10-27 at 23:59
Unit: aau

Read the job description at the university homepage or apply.

Post expires on Friday October 27th, 2023

The Department of Politics and Society, the Faculty of Social Sciences and Humanities invites applications for a PhD scholarship in Public Administration and Digitalization focusing on the use of learning algorithmic technologies in public sector organizations. The position is available from 1st of December 2023 or as soon as possible thereafter. The PhD will be associated with the research project “Professional Expertise in the Age of the Learning Algorithm” (PEAL).

Job description

The PhD scholarship has a duration of three years. Applicants to the PhD scholarship must hold a degree equivalent to a Danish Master’s degree. Applicants enrolled at a Danish Master programme who expect to graduate before the date of appointment must forward statement from thesis supervisor, verified transcripts, a copy of thesis contract and documentation for the date of their final exam.

• • letter of motivation that includes:
  • your motivation for pursuing a PhD
  • what you hope to learn during the PhD program
  • your experience and interest in conducting research,
  • your experience and interest in studying AI and work
  • your longer-term career goals
  • project proposal(max. 5 pages).
  • By contacting Associate Professor Kasper Trolle Elmholdt, the project description can be sent to prepare the application.
  • curriculum vitae
  • diplomas confirming academic degrees(Master degree), including academic transcripts
  • Co-author statement for all enclosed co-authored publications, specifying the extent of the applicant’s contribution to the total work and be signed by the co-authors.
  • Application for credit transfer if relevant.

Wages and employment

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 15 December 2021, on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular on the employment structure at Danish Universities.
AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Ref number

2023-224-05488

Deadline: 2023-10-16 at 23:59
Unit: aau

Read the job description at the university homepage or apply.

Post expires on Monday October 16th, 2023

At the Department of Communication and Psychology, the Faculty of Social Science and Humanities, Aalborg University in Copenhagen, a Post Doc position associated with the two research projects, “Contestable Artificial Intelligence” and “Responsible AI for Value Creation” will be open for appointment as of 1st of November 2023 or as soon as possible thereafter. The appointment will be a full-time position with research and minor teaching obligations. The position is temporary for 3 years and 6 months. The position will be attached to the section Human Centered Science and Digital Technology

Job description

The selected postdoc is expected to contribute with: 

• Ethical and legal analysis of key notions in the AI regulatory discourse, including explainability, contestability and trust.
• Operationalization of the notions of effective contestability and public trust in AI contexts.

The project“Contestable Artificial Intelligence” addresses three interrelated problems in current AI discussions. Firstly, the dilemma between AI performance and AI explainability: The decision-making of the best performing types of AI is hard to interpret and
explain in any detail. Secondly, the need for a common notion of explainability satisfying core criteria of ethical adequacy. Thirdly, the need for a substantial interpretation of the EU General Data Protection Regulation requirement that a data subject when profiled has a right to“meaningful information about the logic involved”. The project aims at solving these problems by developing the notion of“effective contestability”. The project is funded by the Independent Research Fund Denmark(DFF).

The project“Responsible AI for Value Creation” seeks to aid private companies and public organizations in building responsible AI solutions compliant with ethical and regulatory frameworks that promote trust among the wider public. The project is funded by Grundfos Foundation.

In terms of research
The position includes research and applicants are expected to have research experience in one or more of the above-mentioned areas.

Applicants should have(or be about to receive) a PhD degree in a subject relevant for the research area, such as philosophy, law or similar.

Knowledge about social science research methods will be an advantage.

The candidate is expected to have a professional research record as witnessed by publications in leading journals in at least one of the fields of ethics and law.

In relation to research, applicants should document:

• Experience, skills and achievements that demonstrate the ability or potential to develop external and/or international networks and collaborations.
• Experience, skills and achievements that demonstrate the ability or potential to engage in activities with actors outside academia to enhance the impact of research.

Other expectations

• Document experience, skills or achievements which demonstrate the ability or potential to work collaboratively with colleagues, participate fully in the day-to-day activities of the Department and research group, and contribute to a positive and collegial working environment.
• Demonstrate great written and oral communication skills.
• During the employment as a Post Doc, the selected candidate will be expected to engage in knowledge collaboration within the portfolio of the position and participate positively and constructively in the day-to-day activities at the Department.

Who are we?
The Department of Communication and Psychology is a part of the Faculty of Humanities and Social Sciences and is in both Aalborg and Copenhagen. Our department is dedicated to enhancing human and community participation in society through interdisciplinary research and education. We combine classical and modern humanistic disciplines and promote innovative thinking and a commitment to contributing to society. As part of our large and diverse Department you’ll be working alongside over 150 scientific staff and more than 2,400 students. In addition, we have over 50 Ph.D. students and an administration team of 40 staff members.

Join us in making a difference in society!

More information about the research profile of the Department can be found here:http://www.kommunikation.aau.dk

POST DOCTORAL POSITION
The position will be heavily weighted in favour of research. In addition, there will be a certain amount of teaching activities. The performance of other duties may be required to a limited extent. The university determines the exact weighting of the various responsibilities. The weighting of the various responsibilities may vary over time.

Appointment as a postdoc cannot exceed a period of four years in total at Aalborg University. Appointment at postdoc level cannot exceed a period of eight years in total in Denmark, however max. six years at Assistant Professor level- which includes Postdoc- at the same institution.

QUALIFICATION REQUIREMENTS
Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications.

THE APPLICATION
The application must contain the following:

• Your CV. 
• A complete publication list and markings of the attached publications to be taken into consideration in connection with the assessment. No more than five publications may be attached.
• In case you attach joint, a co-author statement must be enclosed specifying your contribution to the joint work. The co-author statement must be signed by at least one of the co-authors. Template co-author declaration.
• Documentation of your teaching qualifications.Guidance Teaching portfolio
• Copies of your degree certificates(including Master’s and PhD certificates) 

Your application including attachments must be sent electronically by clicking the“Apply online” link below.

The application must be written in English. 

ASSESSMENT
Applicants will be assessed by an assessment committee.

Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select applicants for assessment. Before the shortlisting takes place, all applicants will get the opportunity to comment on the composition of the assessment committee. All applicants will be informed whether they are selected for assessment or not.

All assessed applicants will get the opportunity to comment on their own assessment, and may be invited to an interview and/or asked to give a trial lecture.

When the employment process has been terminated, a final rejection will be sent to the applicants who are not considered for the position.

CONTACT INFORMATION
Any enquiries about the position may be addressed to Thomas Ploug, phone+4599402533 or emailploug@ikp.aau.dk– Marianne Lykke, phone+4599408157 or emailmlykke@ikp.aau.dk. 

Any enquiries relating to the application procedure should be addressed to Human Resources, emailSSH-hr@adm.aau.dk.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Wages and employment

Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministry of Finance’s current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.

Ref number

2023-224-05486

Deadline: 2023-10-01 at 23:59
Unit: aau

Read the job description at the university homepage or apply.

Post expires on Sunday October 1st, 2023

At the Faculty of Engineering and Science, Department of the Built Environment a PhD stipend is available within the doctoral programme Civil Engineering. The stipend is open for appointment from 1 January 2023 or soon hereafter.

Job description

The PhD position will be part of the Indoor Environmental Quality and Building Systems Group. The Research areas for this PhD position will focus on developing district heating and cooling technology in connection with aquifer thermal energy storage (ATES). The research will be based on a combination of computational models and data retrieved from ATES sites. The candidate will be part of an international research project: GOES.

QUALIFICATIONS:

• Master’s degree within HVAC systems for buildings, mechanical engineering, energy engineering or related fields.
• Good mathematical knowledge and numerical modelling skills.
• Experience with measurements and data analysis.
• Good knowledge of computational tools (e.g. MATLAB, MATLAB/Simulink, EES) and/or programming languages (e.g. Python). Experience with Modelica would be an advantage.
• Practical experiences within district heating, HVAC systems, and energy use in buildings is an advantage.
• Excellent communication skills with both technical and administrative staff.
• Excellent knowledge of written and spoken English.

You may obtain further professional information from Professor Alireza Afshari, aaf@build.aau.dk, concerning the scientific aspects of the stipend.

PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.

For further information about stipends and salary as well as practical issues concerning the application procedure contact Bettina Wedde, The Doctoral School at The Faculty of Engineering and Science, email: bew@adm.aau.dk,  phone: +45 9940 0009.

For more information of The Doctoral School of Engineering and Science: www.phd.engineering.aau.dk

The application is only to be submitted online by using the “Apply online” button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Agreement

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 28 June 2019 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

Vacancy number

6-22088

Deadline: 1970-01-01 at 23:59
Unit: Department of the Built Environment

Read the job description at the university homepage or apply.