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Position: PhD Scholarships in Advanced Modelling and Artificial Intelligence in Manufacturability of Biological Products
Institution: Technical University of Denmark
Location: Kongens Lyngby, Lyngby‐Taarbæk Municipality, Denmark
Duties: Understand and utilize a combined approach in designing and performing experiments and using data-driven approaches to accelerate optimization; Perform research at lab and pilot scale for production of biological products; Understanding the industrial needs and bring innovation to combine an array of tools and methodologies to advance the state-of-the-art; Having a flair and passion to learn new approaches and methodologies (both experimental and model-based)
Requirements: 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 chemical engineering or biotechnology The following qualifications are preferred: Knowledge of process modeling and data-driven approaches; Knowledge of a programing language (e.g. Python); Experience with lab-scale and pilot-scale experiments (not required but a an advantage); Demonstrated ability in scientific dissemination
   
Text: Education Continuing Education Research Innovation Collaboration About DTU News $name Dansk Dansk English Search $name Dansk Dansk English Search Frontpage About DTU Job and career Vacant positions $name Back $name To job list PhD Scholarships in Advanced Modelling and Artificial Intelligence in Manufacturability of Biological Products DTU Chemical Eng. Wednesday 21 Sep 22 Apply for this job Apply no later than 5 October 2022 Apply for the job at DTU Chemical Eng. by completing the following form. Apply online If you are establishing your career as scientist and you are looking for the best possible foundation for fulfilling your dreams and ambitions, it is right here in front of you. At DTU Chemical and Biochemical Engineering you will break new ground at the absolute forefront of what is possible for manufacturability of chemical and biological products from lab-scale to pilot-scale (up-stream and downstream), as well as design, control/monitoring and optimization of advanced processes. There are several PhD-projects focusing on upstream and downstream biological products manufacturing, such as novel proteins for food and feed applications. The projects will be carried out in conjunction with leading Danish SMEs active in this area. You will have the opportunity to work on real-world case studies while advancing state-of-the-art in the following equally important areas: Process monitoring, control and optimization using advanced sensing technologies Artificial intelligence and model-based tools for bioprocess development Data-driven modeling and development of digital twins The specific cases include crystallization and fermentation Biobased manufacturing in large scale, such as fermentation (upstream) or crystallization (downstream) suffer from risk of batch-to-batch variations due to micro- and macroscopic process variations (e.g., concentration gradient formation). Thus, process monitoring (data collection) is a crucial factor to ensure robust manufacturing. Furthermore, increased production scales, enhanced by the transition towards sustainable biobased manufacturing, further underlines the importance of optimal substrate-to-product yield and titer. Optimization in the biobased industry relies heavily on experimental data and employed sensor technology. Obtaining comprehensive datasets and the ability to extract patterns (e.g., machine learning) offers several benefits with - most likely - more yet unexplored benefits. The aim of this project is to explore, systematize, and utilize vast amount of data from biobased manufacturing processes. This is achieved by exploring AI-based machine learning (ML), mathematical models, and/or hybrid approaches/Scientific ML (a combination) to evaluate potentials for example within the following disciplines: (i) real-time process characterization (e.g., metabolic activity and changes herein), (ii) real-time process control and optimization (e.g., improving instantaneous productivity and/or yield while minimizing power input for aeration and/or agitation, titer prediction), (iii) process design and scale-up (e.g., scale-dependent operating window), and (iv) potential design of experiments for further development in full-scale to eliminate the expenses on unnecessary experiments. This project will initially constitute of theoretical work on model development while employing and existing database and the datasets generated by a collaborating PhD student/project. Practical implementations and evaluations of developed tools may be carried out in relevant experimental scales, hence, to evaluate a fully “digitalized” facility. Responsibilities and qualifications Your overall focus will be to strengthen the department’s as well as SMEs competences within scale-up, monitoring and optimization biological product manufacturing from lab to pilot scale. You will work with nearby colleagues, and with both academic and industrial partners in Denmark as well as abroad. Your primary tasks will be to: Understand and utilize a combined approach in designing and performing experiments and using data-driven approaches to accelerate optimization Perform research at lab and pilot scale for production of biological products Understanding the industrial needs and bring innovation to combine an array of tools and methodologies to advance the state-of-the-art Having a flair and passion to learn new approaches and methodologies (both experimental and model-based) 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 chemical engineering or biotechnology The following qualifications are preferred: Knowledge of process modeling and data-driven approaches Knowledge of a programing language (e.g. Python) Experience with lab-scale and pilot-scale experiments (not required but a an advantage) Demonstrated ability in scientific dissemination Applicable for all scholarships Approval and Enrolment The scholarships for the PhD degree are subject to academic approval, and the candidates 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 . Assessment The assessment of the applications will be by Associate Professors Seyed Soheil Mansouri and Ioannis Skiadas together with representatives from collaborating industrial partners. 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. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professors Seyed Soheil Mansouri ( seso@kt.dtu.dk ) or Ioannis Skiadas ( ivsk@kt.dtu.dk ). You can read more about DTU Chemical and Biochemical Engineering at www.kt.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 . Furthermore, you have the option of joining our monthly free seminar “ PhD relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of movin g to Denmark and w orking as a Ph D at DTU. Application procedure Your complete online application must be submitted no later than 5 October 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 (in English) including official description of grading scale In the field “Please indicate which position(s) you would like to apply for”, please indicate which project you are applying for (title from the above list of PhD projects (areas)). Incomplete applications will not be considered. You may apply prior to ob­tai­ning your master's 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. The Department of Chemical and Biochemical Engineering at DTU is a leader in innovative teaching and research, built on core technical subjects and engineering scientific disciplines. The teaching and research covers separation processes, (bio)reaction engineering, dynamics and process regulation, (bio)process and facility planning, unit operations, heat transmission, fluid mechanics and applied thermodynamics. The Department enjoys very close relations with international partners, and especially a wide range of industrial companies. The department is located at DTU Lyngby Campus) 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. Address info $name
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