Postdoc in the Biological Roles of Protein Aggregate Stability

 

The research group of Prof. Alexander K. Buell at the department of Biotechnology and Biomedicine (DTU Bioengineering) at Technical University of Denmark is looking to recruit a postdoctoral fellow, to start as soon as possible. Our research group is situated within the section of Protein Chemistry and Enzyme Technology, where world-leading expertise in protein chemistry and structural biology is concentrated. Our laboratory performs cutting-edge experimental research in the field of protein and peptide self-assembly and aggregation. The applied methods include protein engineering as well as various spectroscopy, scattering, biosensing and microfluidics techniques and we work on a range of protein systems the aggregation of which is associated with human disease.

The overall aim of our research is to achieve a profound mechanistic understanding of protein and peptide assembly into ordered (fibrillar, crystalline) and disordered (amorphous, liquid droplet) condensed phases and of the physico-chemical factors and sequence determinants that drive it. To achieve these goals, we also collaborate with structural, computational and medical biologists. The motivation behind our research is to enable rational control of such assembly processes in the context of human disorders, protein biotechnology as well as in the creation of novel types of functional biomaterials. 

Research project
In this project, which is funded by the Lundbeck Foundation, the aim is to quantify the thermodynamic stability of various condensed and aggregated states of the proteins alpha-synuclein and TDP-43, as well as variants (mutants, truncated forms and PTMs) thereof. The results of these biophysical experiments will then be compared with the degradability of the aggregates by chaperones and the proteasome. The project will involve collaborations with world-leading researchers in Germany, France and the UK. More detailed information on the project can be obtained on request.   

Responsibilities and tasks
The successful candidate will contribute to the establishment of a new experimental methodology with the aim of probing the relationship between protein aggregate stability and degradability. Further tasks will include:

• Assistance in and involvement with other research projects and topics in the group
• Help with the supervision of a PhD student who is also involved in the project
• Taking responsibility for the functioning of research equipment
• Experimental design, data analysis, writing of scientific articles and presentations at conferences and meetings

Qualifications
Candidates must have a PhD degree or equivalent in molecular biology, biophysics or related fields. The successful candidate should:

• Be interested in the quantitative study of biomolecular systems in vitro
• Have documented practical experience with recombinant protein expression and purification, ideally of intrinsically disordered protein systems, as well as their quantitative biophysical characterisation
• Experience with the reconstitution of complex, multi-component biochemical reaction systems in vitro is an advantage
• Feel comfortable in an interdisciplinary research environment of openness and collaboration
• Have a strong track record in the generation, analysis, interpretation and dissemination of scientific results (as demonstrated by peer reviewed publications, oral presentations, teaching and outreach activities)

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 initially for 2 years.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Prof. Alexander K. Buell, alebu@dtu.dk. Homepages: Protein Biophysics and Buelllab.

You can read more about the DTU Bioengineering at DTU at www.bioengineering.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 31 May 2022 (Danish time). Apply online at www.career.dtu.dk. 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 – in English)
• List of publications
• Names and contact details of 2-3 referees

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 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.

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Apply no later than 31 May 2022
Apply for the job at DTU Bioengineering by completing the following form.

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PhD Scholarship in Data Science Pipeline for Cardiovascular Diseases

 

DTU Health Tech is looking for a PhD candidate in data science for cardiovascular diseases (CVD). The purpose of this project is to research, design, implement, and test a workflow pipeline for training of machine learning prediction algorithms for cardiovascular events.

You will join the Digital Health section of DTU Health Tech. We are a multi-disciplinary team of biomedical engineers, computer scientists, and UX researchers who research digital technologies for health, healthcare, and life science, in order to improve healthcare delivery and make healthcare more personalized and precise. We have an extensive research record within data science in CVD and you will join a team of senior researchers and other PhD students working with us. You will also work closely with cardiologists at the Department of Cardiology at the Copenhagen University Hospital (Danish: Bispebjerg-Frederiksberg Hospital) who will provide clinical supervision.

Responsibilities and qualifications
Your research will focus on establishing an end-to-end pipeline for data science in CVD with a special focus on atrial fibrillation (AF) and heart failure (HF). This pipeline will consist of three main parts: (i) collection of ECG and contextual data from patients, (ii) ground-truth annotation from clinicians, and (iii) a self-optimizing and extensible data science analysis engine containing model for prediction of cardiac events. Primary focus is on the overall software architecture and distributed system design of the pipeline, secondary on the user experience (UX) design of the data collection sub-systems, and tertiary on the design of data science methods.

This position requires skills in software engineering, mobile sensing, UX design, and health data science, including software development, mobile programming, sensor integration, distributed computing, and data processing using modern AI- and ML-based tools. Furthermore, a structured approach to research and strong communication skills in English in written and oral dissemination is core. Finally, since you will be spending time with a clinical team at the hospital, good collaborative skills and understanding of clinical work is also important.

From an academic point of view, you must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in addition to a bachelor’s degree (180 ECTS points).

Ideally, your master degree should be in computer science / engineering or biomedical engineering with a focus on software engineering and data science.

More specifically you should have most of the following qualifications:

• Strong theoretical and practical background in software engineering, software architecture, distributed computing, data science, and human-computer interaction.
• Experience in mobile sensing, ubiquitous computing, and wearable devices.
• Experience in data science methods, incl. machine/deep learning algorithms, especially in ECG or other biomedical signal processing applications.
• Strong mastery of a programming languages like Python, Java, Kotlin, Dart, Swift, or similar.
• Strong communication skills in English – both in writing and orally.
• Knowledge on clinical work, e.g., in cardiology

The language of communication at DTU is English.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education.  

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 appointment terms
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 3 years. Start date is as soon as possible.

You can read more about career paths at DTU here.

Further information
If you want to know more, please contact the main supervisor directly – Jakob E. Bardram at: jakba [at] dtu.dk.

Read more about:

• DTU Health Tech
• The Digital Health section
• The PhD School at DTU Health Tech
• mCardia – and example of our work in CVD

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 31 May 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:

• A letter motivating the application (cover letter)
• Curriculum vitae
• Grade transcripts and BSc/MSc diploma including official description of grading scale
• Links to, or copy of any research papers you may have been part of
• Link to a code portfolio stored in an online repositories like GitHub

You may apply prior to ob­tai­ning your master's degree but cannot begin before having received it. 

Incomplete applications will not be considered. Applications received after the deadline will not be considered.

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

DTU Health Tech engages in research, education, and innovation base on technical and natural science for the healthcare sector. The Healthcare sector is a globally expanding market with demands for the most advanced technological solutions. DTU Health Tech creates the foundation for companies to develop new and innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 140 PhD students and a technical/administrative support staff of about 160 persons, of which a large majority contributes to our research infrastructure and related commercial activities.

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 31 May 2022
Apply for the job at DTU Health Tech by completing the following form.

APPLY ONLINE

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.

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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