Postdoc position for in situ investigations of catalysts for base-grown CNTs from CH4

 

The position is funded by the Horizon Europe Work Programme. The overarching aim of STORMING (STructured unconventional reactors for CO2-fRee Methane catalytic cracking) aims to develop catalytic reactors powered by renewable electricity to produce simultaneously H2 and high-quality and highly-oriented Carbon Nano Tubes (CNTs) from sustainable carbon sources

Responsibilities and qualifications
DTU will focus on design, preparation and testing of model catalysts based on computational modelling outputs (from other partners), to identify the key features of the catalyst to promote CNT base-growth, as well as regeneration procedures. DTU has access to size selected cluster source deposition equipment for producing model catalyst systems and it has an electron microscopy facility, DTU Nanolab, that houses an aberration corrected ETEM enabling in situ growth studies of model catalysts.

The Postdoc will mainly work on two tracks:

Metallic clusters, with accurate control in composition and size will be deposited on flat supports (steel, SiN, SiO, etc. ) including grids for SEM and TEM investigation. The catalyst will be tested in a dedicated setup and characterized ex situ to select the combination of catalyst composition, temperature, gas-feed composition (CH4, CH4/H2), and GHSV to promote CNT base-growth.

In situ TEM will be used to perform correlative imaging analysis of the most promising catalysts using temporal atomic resolved data acquired on state-of-the-art Aberration-Corrected Electron Microscope setup, and to investigate the growth orientation of CNTs compared to the catalyst metallic NP size and facet distribution. SCO and SCH will be tested as “chemical scissors” to enable large scale CNT harvesting.
Model systems on supports designed for Operando TEM will be prepared and studied using a setup operating at pressures up to 1 bar, giving atomic insight at operating conditions (activation, CH4 cracking and chemical scissoring) offering insight on how and when to grow or chemically harvest the CNTs.

The successful candidate is well-motivated, hardworking and willing and able to work as part of a team. The candidate is expected to have a PhD degree in Physics, but candidates with appropriate background and a PhD in Chemistry, Chemical Engineering or Materials Science will also be considered. The preferred candidate will have an extensive experience with in situ transmission electron microscopy as well as a strong experimental background in catalysis or surface science. Experience with CNT growth and clusters/nanoparticles is highly desirable.

The candidate should have demonstrated a scientific production and research potential at the highest international level. The candidate should also have demonstrated outstanding problem-solving skills, good communication skills in both spoken and written English, and experience in working independently and in a team.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

The period of employment is for 24 months.

You can read more about career paths at DTU here.

Further information
For further information about the research at SurfCat at the Department of Physics at the Technical University of Denmark (DTU) please inspect www.surfcat.dtu.dk

Should you have any queries regarding the position, please contact Associate Professor Christian Danvad Damsgaard cdda@dtu.dk.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application
Your online application must be submitted no later than 1 June 2022 (Danish time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Copies of BSc, MSc and PhD degree diplomas incl. list of grades obtained
• List of publications
• Names and e-mail addresses or telephone numbers of min. 2 references.

Candidates may apply prior to obtaining their PhD degree, but cannot begin before having received it.

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 13,400 students and 5,800 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

Apply for this job

Apply no later than 1 June 2022
Apply for the job at DTU Physics by completing the following form.

APPLY ONLINE

Postdoc in Machine Learning for Signal Processing

 

If you have a PhD or similar research background in machine learning or signal processing, and you are looking for the right place to make the most of your knowledge and talent, this is the position for you. As part of the project "Machine learning-enabled fiber-optic communication", you will develop your skills at the forefront of scientific research.

In a ground breaking collaboration between researchers in machine learning and photonics, we want to use machine learning to design new fiber-optic communication strategies that are optimized in terms of throughput and energy-efficiency. Your role will be to develop neural network-based machine learning methods for improving communication strategies over nonlinear fiber optic channels, and collaborate on implementing them in our experimental test bed. This could include using convolutional neural networks for pulse shaping at the transmitter and symbol detection at the receiver. With a physical communication channel "in the loop" we envision that gradient-free optimization will play an important role in your research. Depending on your interests, you could approach this using Monte Carlo gradient estimation, active learning, surrogate optimization, or perhaps evolutionary computation.   

As our new colleague, you will be part of a dedicated interdisciplinary research team. You will be based within the Section for Cognitive Systems, which is a lively and research oriented group of scientists and support staff with a broad interest in machine learning and information processing in humans and computers. On a day-to-day basis you will collaborate closely with one other postdoctoral researcher employed in the project as well as the two professors, Mikkel N. Schmidt and Darko Zibar, who lead the project. 

We believe that the best scientific results are achieved based on trust in the individual backed by an environment of collaboration, knowledge sharing, and support. You will have considerable freedom to pursue your own ideas as you see fit, and we encourage you to publish your results in the leading machine learning venues.

Responsibilities and qualifications
Your overall focus will be to develop, design, and implement new machine learning methods for signal processing in digital communication. Your responsibilities will include:

• Developing ideas for using machine learning to optimize communication strategies.
• Designing and implementing neural networks for optical communication.
• Collaborating with practitioners on implementation in our experimental test bed.
• Communicating your results in machine learning conferences and journals.

We expect that you bring expertise within:

• Machine learning and/or signal processing methods research.
• Programming in Python and Pytorch / Tensorflow.
• Creative problem solving and generation of new ideas.
• Communication in English, both written and spoken.

It is an added benefit if you have experience with the following related topics, but if not we can provide the necessary training:

• Digital communication systems
• Probabilistic modeling

As a formal qualification, you must hold a PhD degree (or equivalent).

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

The period of employment is 2 years.  Starting date is as soon as possible according to mutual agreement.

You can read more about career paths at DTU here.   

Further information
Further information may be obtained from Mikkel N. Schmidt, mnsc@dtu.dk / www.mikkelschmidt.dk. 

You can read more about DTU Compute at www.compute.dtu.dk/english. 

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.   

Application procedure
Your complete online application must be submitted no later than 1 June 2022 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD)
• List of publications

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

Working at DTU Compute
DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.

We believe that our strong commitment to diversity, equity, and inclusion helps us attract the most talented individuals and allows the best ideas to flourish. The university itself is located in the greater Copenhagen area, which is acknowledged for its excellent standards of living, childcare, and welfare system. We emphasize a healthy work / life balance based on the premise that you do the best work when you are happy.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

Apply for this job

Apply no later than 1 June 2022
Apply for the job at DTU Compute by completing the following form.

APPLY ONLINE

Postdoc in Machine Learning Techniques for Communication over the Fiber-Optic Channel

 

Applications are invited for a 2-year postdoctoral research position funded by the Villum Foundation Synergy: ‘Machine learning-enabled fiber-optic communication (MARBLE). The objective of the MARBLE project is to develop novel machine learning based strategies for communication over the nonlinear optical fiber channel. The start date is flexible. 

The project is interdisciplinary and will cover topics within the field of machine learning and optical communication. The project will be carried out in Machine Learning in Photonic Systems (M-LiPS), group. The group has a strong track record and industry collaboration in the application of machine learning techniques to optical communication systems and photonic systems in general.

The project will explore the latest advances within machine learning to enable nonlinear-distortion free communication over the optical fibre channel. It will be explored how to combine machine techniques with optical communication, to enable spectrally efficient and robust  optical communication systems covering ultra-wide band transmission (O+E+S+C+L band). More specifically, the application and efficient training for auto-encoders will be investigated.  The project will cover both algorithm development as well as experimental implementations.   

Responsibilities and qualifications
The candidate will be focusing on improving communication strategies over the nonlinear fiber optic channel using machine learning. Moreover, the candidate will participate in implementing the developed techniques in experimental test-bed and performing transmission experiemnts. 

This position will investigate the research topics below using both theoretical and experimental methods:

• Gradient-free training of neural networks
• Development of novel machine learning based transmitter and receiver schemes for ultra-wideband optical communication systems
• Investigation of the impact of the components non-idealities on the devised machine learning based communication strategies
• On-line training of transmitter and receiver architectures

As a formal qualification, you must hold a PhD degree in telecommunication, machine learning, photonics engineering or equivalent.

Moreover, the candidate shall have experience with one or more of the following skills:

• Optical or digital communication systems
• Machine learning techniques such as: neural networks, Bayesian filtering, reinforcement learning, evolutionary algorithms, numerical optimization
• Experimental realization of high-speed optical communication systems employing advanced modulation formats and coherent detection
• Python/PyTorch/TensorFlow/MATLAB
• Ability to work independently, to plan and carry out complicated tasks
• Excellent communication skills in English, both written and spoken
• Innovative skills and the ability to generate new ideas
• Experience in student supervision at B.Sc., M.Sc. and Ph.D. levels

Assessment
In the assessment of the candidates, consideration will be given to

• Publications at leading conferences and journals within the field of optical/digital communication/machine learning
• Invited conference and journal papers
• Overall research experience
• International experience
• Internal and external collaboration
• Communication skills
• Experience with software for version control such as git

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 2 years.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Professor Darko Zibar (dazi@fotonik.dtu.dk).

You can read more about DTU Fotonik at www.fotonik.dtu.dk/english. 

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application procedure
Your complete online application must be submitted no later than 1 June 2022 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD)
• List of publications

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

DTU Fotonik has 220 employees with competences in optics and is one of the largest centers in the world based solely on research in photonics. Research is performed within communication technology, ultra-high speed optical transmission systems, optical sensors, lasers, LEDs, photovoltaics, bio-photonics, nano-optics and quantum communication and photonics. 

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

Apply for this job

Apply no later than 1 June 2022
Apply for the job at DTU Fotonik by completing the following form.

APPLY ONLINE

Assistant Professor or Associate Professor in Design and Innovation

 

DTU invites applications for an assistant/associate professorship in Design and Innovation within the Responsible Innovation and Design division at DTU Management. The division is a key player in DTU’s strategic aim to foster ‘technology for people’, i.e. to put human needs and aspirations at the centre of technological development and innovation. It is focused on the processes through which technologies are developed and implemented in a socially sustainable and responsible manner. The division is in the process of establishment and our new assistant/associate professor will be part of shaping the future trajectory of research and teaching.   

Responsibilities
As part of the group, it will be your responsibility to conduct research, supervision and teaching with relevance to the general theme of responsible innovation and design. The division is working across a number of technological domains and we aim to become a leading research environment for the study of responsible innovation and design. You will be expected to develop a research portfolio, which aligns with this.

You will be engaged in high-end publications, grant procurement and experimental outreach in collaboration with other team members. The division collaborates across DTU’s departments, and we are eager to extend and deepen these collaborations. We contribute to outreach and public debate and expect you to be actively engaged in research communication to relevant stakeholders and wider publics. You are encouraged to learn Danish and DTU offers language courses for free.   

The assistant professor position is part of DTU’s Tenure Track program. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. We develop talent by offering a career mentor, state-of-the-art research infrastructure, and postgraduate teacher training. DTU’s Tenure Track is an appointment of at most six years, during which you will receive career support in the form of professional and personal guidance. At the end of the tenure track appointment you will be evaluated by an external assessment committee, who will assess your appointment to a permanent Associate Professorship. Read more about the DTU Tenure Track program at DTU at this homepage.

Qualifications
You must hold a PhD degree (or equivalent) within Design Research, Science and Technology Studies, Co-design, Innovation Studies or similar. If you are applying for the associate professor position, you should also have academic qualifications equivalent to those obtained by holding an assistant professorship and documented didactic/pedagogic training. You should have experience with research and teaching relevant to the issue of innovation and design.

Your application must demonstrate an ability to conduct excellent research and publish in top journals. It is an advantage if you have successfully applied for competitive funding and if you can demonstrate interdisciplinary experience with research and teaching. You must describe a compelling future research agenda in your research statement: Why is your future research important and how will you achieve impact in your research field and beyond. In addition, you should possess the following competences:

• Enjoy working with complex topics in an interdisciplinary environment
• Be motivated by both individual and team accomplishments
• Excellent communication skills and a focus on process as well as outcome

Assessment
You will be assessed against the responsibilities and qualifications stated above and the following general criteria:

• Experience and quality of teaching
• Research experience, research vision and potential
• International impact and experience
• Societal impact
• Innovativeness, including commercialization and collaboration with industry
• Leadership, collaboration, and interdisciplinary skills
• Communication skills

Salary and terms of employment
We offer an attractive teaching conditions, possibilities to favorable taxation for non-Danish residence (see Danish Tax Authority), funding for research, traveling, and a competitive salary. Denmark offers abundant research funding opportunities from its many private and public foundations. The positions are full-time and based at Lyngby campus, just north of Copenhagen. Copenhagen is renowned around the world for its relaxed atmosphere, fantastic restaurants, festivities and high quality of life.   

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The salary for the position will be determined by the applicant’s qualifications and in agreement with the relevant union. Further information on qualification requirements and job content may be found in the Ministerial Order on Job Structure for Academic Staff at Universities. 

You can read more about career paths at DTU here.  

Further information
Further information may be obtained from Professor, Head of Division Maja Horst, majho@dtu.dk.

You can read more about DTU Management at www.man.dtu.dk/english.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.   

Application procedure
Please submit your online application no later than 1 June 2022 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• Vision for teaching and research
• CV including employment history, list of publications (applicants applying for the position as associate professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org/)
• Teaching portfolio including documentation of teaching experience
• Academic Diplomas (MSc/PhD)

In the field “Please indicate which position you are applying for”, please indicate whether you are applying for the position as Associate or Assistant Professor.

You can learn more about the recruitment process here. Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

Who are we
DTU Management conducts excellent research in the intersection between management, technology and economics. We develop solutions in close cooperation with companies and public authorities. Our research aims at strengthening welfare, productivity and sustainability within the society. A key element is the role of technology and its interaction with industry and individuals. The department’s research is divided in four divisions: Innovation, Management Science, Sustainability and Transport. The department offers a wide range of courses and programs at bachelor, master and PhD level across DTU’s study programs. DTU Management employs about 320 people. We offer an international environment with around 50 different nationalities represented at the department.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

Apply for this job

Apply no later than 1 June 2022
Apply for the job at DTU Management by completing the following form.

APPLY ONLINE