德国亥姆霍兹德累斯顿罗森多夫研究中心博士后—用于 DNA 和 RNA 的领域信息深度学习语言模型

德国亥姆霍兹德累斯顿罗森多夫研究中心博士后—用于 DNA 和 RNA 的领域信息深度学习语言模型

德国德累斯顿-罗森多夫赫尔姆霍兹中心（HZDR），是德国一家研究机构。

Postdoctoral Researcher (f/m/d) on Domain-informed Deep Learning Language Models for DNA and RNA

Helmholtz-Zentrum Dresden-Rossendorf

Germany

May 25, 2023

Contact:N/A

Offerd Salary:Negotiation

Location:N/A

Working address:N/A

Contract Type:Other

Working Time:Part time

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Ref info:N/A

For any questions, do not hesitate to ask: Dr. Artur Yakimovich Mrs. Weronika Mazur Tel.: +49 3581 37523 23, +49 171 3635554

Place of work: Görlitz

Working hours: 39 h/week

Deadline: 25 May 2023

Online application English / German Job-Id: 2023/79 (1663)

At HZDR, we promote and value diversity among our employees. We welcome applications from people with diverse backgrounds regardless of gender, ethnic and social origin, belief, disability, age, and sexual orientation. Severely disabled persons are given preference in the event of equal suitability.

Helmholtz-Zentrum Dresden-Rossendorf Bautzner Landstraße 400 01328 Dresden

Postdoctoral Researcher (f/m/d) on Domain-informed Deep Learning Language

Models for DNA and RNA

Through cutting-edge research in the fields of ENERGY, HEALTH and MATTER, Helmholtz-Zentrum Dresden-Rossendorf (HZDR) solves some of the pressing societal and industrial challenges of our time. Join our 1.500 employees from more than 50 nations at one of our six research sites and help us moving research to the next level!

The Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. CASUS was founded in 2019 in Görlitz and conducts digital interdisciplinary systems research in various fields such as earth systems research, systems biology and materials research.

CASUS is looking for a Postdoctoral Researcher (f/m/d) on Domain-informed Deep Learning Language Models for DNA and RNA.The position will be available at the earliest possible date.

The Scope of Your Job:

Natural Language Processing has substantially improved deep learning on language and our understanding on linguistics due to unprecedented possibilities for text analysis. Furthermore, recent advances in Physics- informed Neural Networks and Biology-informed Neural Networks shows that incorporating domain-informed knowledge into the model design yields better performance and higher robustness. In a collaboration between the TU Dresden and CASUS we use transformer-based deep learning algorithms that treat genomes as text. The project will encompass the training of task-agnostic language models and use these to extract language rules and biological meaning, such as how genome stability is encoded in the genome. We will further seek to incorporate domain-specific knowledge to improve the robustness of our models.

The position will be mainly located in CASUS in Görlitz, Germany, embedded in the team of Artur Yakimovich and in close interaction with the group of Prof. Anna Poetsch at the Biotechnology Center of the TU Dresden, Germany.

Your tasks:

·  Design of deep learning tasks to interrogate questions of genome biology

·  Devise novel approaches to incorporate domain-informed knowledge into the model architecture

·  Engage with our international collaborators (Dresden, London, Zurich, Taipei etc.) to understand existing approaches and datasets

·  Collaborate in the research team on other questions of machine learning, functional genomics, genome instability

·  Supervise junior lab members

·  Present results and publish high-impact peer-reviewed researchYour profile:

·  PhD degree a relevant field, such as molecular biology, computational biology, bioinformatics, genetics, computer science, mathematics, linguistics, or equivalent scientific background

·  A solid background in biology, mathematics, software engineering, machine learning, or in a related subject

·  Excellent programming skills in languages such as Python

·  Familiarity with modern deep learning frameworks like Tensorflow 2.x.x, PyTorch

·  Previous experience or interest in Bioinformatics, Systems Biology, Natural Language Processing, Deep Learning, Git version control and Slurm cluster environments is a plus

·  Strong motivation to work in a collaborative environment

·  Excellent communication skills in English and in a professional context (presentation of research results at scientific meetings, colloquial discussions, writing of manuscripts)Our offer:

·  A vibrant research community in an open, diverse and international work environment

·  A project at the intersection of Computer Science, Genome Biology and Linguistics

·  A wide range of qualification opportunities and individual career counseling provided by the Postdoc Center HZDR-TUD

·  The employment contract is limited to three years with the possibility of longer-term prospects

·  Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)

·  We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours

·  Numerous company health management offerings

·  Employee discounts with well-known providers via the platform Corporate Benefits

Kindly submit your completed application (including cover letter, CV, diplomas/transcripts, etc.) only via our Online-application-system.

Apply here Jetzt bewerben

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