As a tertiary and quaternary level provider of medical care, the University Hospital of RWTH Aachen combines patient-oriented medicine and care, teaching and research at an international level. The entire spectrum of medical care is provided through 36 specialist departments, 33 institutes and six interdisciplinary units. The co-location of patient care, research and teaching in a central building offers the best conditions for intensive interdisciplinary exchange and close clinical and scientific networking. Highly qualified teams of doctors, nurses and scientists work collaboratively to optimise the healthcare provision of our local, regional, national and international patients. Around 9,000 employees ensure that our care delivery is patient-oriented medicine and surpasses the highest quality standards. With 1,400 beds, the university hospital treats around 50,000 inpatient and 200,000 outpatient cases per year.
The clinic of Psychiatry, Psychotherapy and Psychosomatics is seeking to fill a position in the research area of Digital Mental Health as a
PhD student (f/m/d)
starts as soon as possible with 65% (25.03 h/w) of the full collectively agreed working hours (currently 38.5 h/w), initially for a fixed term of 1 year, considering the WissZeitVG. There is the possibility of prolongation to a total of three years and the option to obtain a doctorate degree.
The Digital Mental Health Lab is investigating the possibilities of intensifying the use of digital applications with the aim of improving clinical patient care in psychiatry and promoting mental health in general.
Your tasks:
In context of the objectives outlined above, the recruitment will take place as part of the implementation of the BMBF-funded "FRIEND" project. The project is carried out in cooperation with our industry partners and aims to create new possibilities for prevention, individual support and recovery of mental health by combining innovative technologies of artificial intelligence and voice control with psychiatric expertise.
Profile:
- Degree in Artificial Intelligence/ Neuroscience/ Medical Engineering/ Psychology/ Computer Science/ Medicine or a related discipline, ideally with experience in Digital (Mental) Health or Human-Machine Interaction
- Highly motivated and qualified researcher interested in the field of mental health
- Programming skills (e.g. Python / R / Matlab/ Java/JavaScript/ C++) and experience with machine learning approaches would be of great advantage
- Ability to work in a team, independent worker, flexibility
Why should you choose us?
- 300 professions under one roof - more professional diversity is not possible
- We offer performance-based remuneration in accordance with the provisions of TV-L (EG 13), including attractive public service benefits
- In addition to a wide range of continued education and training opportunities we offer a variety of health promotion options and an extensive university sports program
- Monthly employee discounts through our corporate benefits program to save on private shopping
- Flexible working hours supporting your balance between career and family, because your work-life balance is important to us
- Attractive conditions for public transport or discounted employee parking for a relaxed commute
- A company kindergarten allowing your children to always be close by (Places subject to availability)
- Onboarding-App for new colleagues, to get to know the University Hospital RWTH Aachen before starting
- Long opening times of the staff canteen
This position is not gender specific.
The RWTH Aachen University Hospital promotes equal opportunities and diversity. Female candidates are strongly encouraged to apply for this position. If qualified, they will be given priority in accordance with the State Gender Equality Act (“Landesgleichstellungsgesetz”). If suitably qualified, people with a registered disability will also receive priority.
Weekly working hours are negotiable.
We strongly encourage the use of our digital application portal at www.karriere.ukaachen.de. Using the online portal, your documents will be secured in the electronic application folder where they are well-protected against unauthorized access. Applications can be sent to us by email: bewerbung@ukaachen.de and will be transferred to the aforementioned portal. Any accompanying documents will be deleted immediately after transfer, in accordance with data protection regulations. After expiry of the retention period, the data in the portal will be deleted. If you object to a transfer to the Application portal your application cannot be considered.
The application deadline for the advertised position GB-P-47248 is 30.04.2024.
Uniklinik RWTH Aachen, Clinic of Psychiatry, Psychotherapy, and Psychosomatics -Research area of Digital Mental Health-, Univ.-Prof. Dr. med. Thomas Frodl, Pauwelsstr. 30, 52074 Aachen.
For more detailed information please contact Priv.-Doz. Dr. med. Tanja Veselinović, Phone.: +49 (0)241/ 80-35893, E-Mail: tveselinovicukaachende
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