PhD scholarship in Raman Spectroscopy and Multi-Modal Machine Learning Models - DTU Compute

Key Skills

Data science techniques, Machine learning techniques, Optimization, Writing

Job Description

If you are ready to begin your research career with a strong foundation in machine learning, and you are interested in developing spectral and multi-model data models within stem cell data science, this is your chance.

In this collaboration, DTU, KU and the private company Bioneer are aiming to develop models and methods, with applications to stem cells for cell-based therapies. We will research novel means for capturing and analyzing data within stem cell differentiation and integrating Raman spectroscopy data with other sources like sequencing data to optimize manufacturing and discovery processes.

We envision analyzing individual stem cells using microfluidics and Raman microscopy.

As our new colleague you will be part of a diverse and multi-disciplinary team, which is engaged in machine learning and has a drive to make novel discoveries for the benefit of human health.

The university itself is in the greater Copenhagen area, which is acknowledged for its excellent standards of living, childcare and welfare system.

Responsibilities

Your overall focus will be to develop novel machine learning models in our project, in close collaboration with our team. You will:

• Develop ML methods to analyze Raman spectroscopy data capturing stem cell differentiation.
• Apply ML methods to discover relationships between spectroscopic response and key endpoints.
• Establish associations between spectroscopy responses and sequencing data.
• Set-up Raman spectroscopy in stem cell differentiation pipeline and contribute to data collection.
• Dissemination of high-quality models and data to an interdisciplinary team.
• Publish scientific papers.

Required qualifications

We are looking for a profile with the motivation and drive needed for making novel discoveries in a multi-disciplinary team. We look for:

• Creativity and openness to innovation
• Enthusiasm and excellent collaboration skills
• Passion for computational modelling of life science data
• Strong oral and written skills in English
• Prior experience with one or more of chemometrics, physics, machine learning, or related areas.

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.

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.

Assessment

The assessment of the applicants will be made by Prof. Line H. Clemmensen and Senior Researcher Lasse Ebdrup Pedersen.

We offer

The position offers a unique possibility of being part of an interdisciplinary research team headed by Prof Line H. Clemmensen at DTU Compute, in close collaboration with researchers at DTU Bioengeneering, as well as collaborations with DTU Health. The PhD will be part of a cooperative research agreement between DTU and Bioneer.

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 Professor Line Clemmensen, lkhc@dtu.dk. 

You can read more about DTU Compute at www.compute.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. 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 moving to Denmark and working as a PhD at DTU.

Application procedure

Your complete online application must be submitted no later than 3 April 2024 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", 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

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, race, disability, religion or ethnic background are encouraged to apply.

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.